├── entrypoint.sh ├── requirements.txt ├── data ├── __init__.py ├── elmo_2x4096_512_2048cnn_2xhighway_options.json └── semeval_vocab.txt ├── embeddings ├── __init__.py ├── word_emb_elmo.py └── sent_emb_sif.py ├── model ├── __init__.py ├── input_representation.py └── method.py ├── docker-compose.yaml ├── .gitignore ├── api.py ├── test └── test.py ├── Dockerfile └── README.md /entrypoint.sh: -------------------------------------------------------------------------------- 1 | #!/bin/sh 2 | python3 api.py 3 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | allennlp==0.9.0 2 | stanza==1.0.0 3 | waitress==1.4.3 4 | -------------------------------------------------------------------------------- /data/__init__.py: -------------------------------------------------------------------------------- 1 | #! /usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | # __author__ = "Sponge" 4 | # Date: 2019/12/19 5 | 6 | -------------------------------------------------------------------------------- /embeddings/__init__.py: -------------------------------------------------------------------------------- 1 | #! /usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | # __author__ = "Sponge" 4 | # Date: 2019/12/19 5 | -------------------------------------------------------------------------------- /model/__init__.py: -------------------------------------------------------------------------------- 1 | #! /usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | # __author__ = "Sponge" 4 | # Date: 2019/12/19 5 | 6 | -------------------------------------------------------------------------------- /docker-compose.yaml: -------------------------------------------------------------------------------- 1 | version: '2.3' 2 | services: 3 | sifrank_serving: 4 | container_name: sifrank_serving 5 | build: . 6 | ports: 7 | - "5001:5000" 8 | runtime: nvidia 9 | environment: 10 | - NVIDIA_VISIBLE_DEVICES=all 11 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | .idea 2 | *.idea/ 3 | .ipynb_checkpoints/ 4 | .vscode 5 | __pycache__/ 6 | **/.idea 7 | */.ipynb_checkpoints/ 8 | */__pycache__/ 9 | */*/.idea/ 10 | */*/.ipynb_checkpoints/ 11 | */*/__pycache__/ 12 | *.tar.gz 13 | *.json.gz 14 | */*.json.gz 15 | .*.swp 16 | *.o 17 | *.bin 18 | *.csv 19 | *.vec 20 | *.log 21 | *.zip 22 | **/.zip 23 | -------------------------------------------------------------------------------- /data/elmo_2x4096_512_2048cnn_2xhighway_options.json: -------------------------------------------------------------------------------- 1 | {"lstm": {"use_skip_connections": true, "projection_dim": 512, "cell_clip": 3, "proj_clip": 3, "dim": 4096, "n_layers": 2}, "char_cnn": {"activation": "relu", "filters": [[1, 32], [2, 32], [3, 64], [4, 128], [5, 256], [6, 512], [7, 1024]], "n_highway": 2, "embedding": {"dim": 16}, "n_characters": 262, "max_characters_per_token": 50}} 2 | -------------------------------------------------------------------------------- /embeddings/word_emb_elmo.py: -------------------------------------------------------------------------------- 1 | #! /usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | # __author__ = "Sponge" 4 | # Date: 2019/6/19 5 | from allennlp.commands.elmo import ElmoEmbedder 6 | 7 | 8 | class WordEmbeddings(): 9 | """ 10 | ELMo 11 | https://allennlp.org/elmo 12 | 13 | """ 14 | 15 | def __init__(self, options_file, weight_file, cuda_device=0): 16 | self.cuda_device = cuda_device 17 | self.elmo = ElmoEmbedder(options_file, weight_file, cuda_device=self.cuda_device) 18 | 19 | def get_tokenized_words_embeddings(self, sents_tokened): 20 | """ 21 | @see EmbeddingDistributor 22 | :param tokenized_sents: list of tokenized words string (sentences/phrases) 23 | :return: ndarray with shape (len(sents), dimension of embeddings) 24 | """ 25 | 26 | elmo_embedding, elmo_mask = self.elmo.batch_to_embeddings(sents_tokened) 27 | if (self.cuda_device > -1): 28 | return elmo_embedding.cpu(), elmo_mask.cpu() 29 | else: 30 | return elmo_embedding, elmo_mask 31 | -------------------------------------------------------------------------------- /api.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | 3 | import nltk 4 | import stanza 5 | from flask import Flask, jsonify, request 6 | from waitress import serve 7 | 8 | from embeddings import sent_emb_sif, word_emb_elmo 9 | from model.method import SIFRank, SIFRank_plus 10 | 11 | app = Flask(__name__) 12 | 13 | 14 | @app.route('/sifrank', methods=['POST']) 15 | def sifrank(): 16 | data = request.json 17 | query = data.get("text", "") 18 | top_n = int(data.get("n", 15)) 19 | 20 | keywords = SIFRank(query, SIF, en_model, N=top_n, elmo_layers_weight=elmo_layers_weight) 21 | 22 | return jsonify(keywords) 23 | 24 | 25 | @app.route('/sifrankplus', methods=['POST']) 26 | def sifrankplus(): 27 | data = request.json 28 | query = data.get("text", "") 29 | top_n = int(data.get("n", 15)) 30 | 31 | keywords = SIFRank_plus(query, SIF, en_model, N=top_n, elmo_layers_weight=elmo_layers_weight) 32 | 33 | return jsonify(keywords) 34 | 35 | 36 | if __name__ == '__main__': 37 | data_dir = "data/" 38 | options_file = f"{data_dir}elmo_2x4096_512_2048cnn_2xhighway_options.json" 39 | weight_file = f"{data_dir}elmo_2x4096_512_2048cnn_2xhighway_weights.hdf5" 40 | cuda_device = 0 41 | 42 | porter = nltk.PorterStemmer() 43 | ELMO = word_emb_elmo.WordEmbeddings(options_file=options_file, weight_file=weight_file, cuda_device=cuda_device) 44 | SIF = sent_emb_sif.SentEmbeddings(word_embeddor=ELMO, data_dir=data_dir, lamda=1.0) 45 | en_model = stanza.Pipeline(lang='en', processors={}, use_gpu=True) 46 | elmo_layers_weight = [0.0, 1.0, 0.0] 47 | 48 | serve(app, host="0.0.0.0", port=5000) 49 | -------------------------------------------------------------------------------- /test/test.py: -------------------------------------------------------------------------------- 1 | #! /usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | # __author__ = "Sponge_sy" 4 | # Date: 2020/2/21 5 | 6 | import nltk 7 | from embeddings import sent_emb_sif, word_emb_elmo 8 | from model.method import SIFRank, SIFRank_plus 9 | import stanza 10 | 11 | # download from https://allennlp.org/elmo 12 | options_file = "data/elmo_2x4096_512_2048cnn_2xhighway_options.json" 13 | weight_file = "data/elmo_2x4096_512_2048cnn_2xhighway_weights.hdf5" 14 | 15 | porter = nltk.PorterStemmer() 16 | ELMO = word_emb_elmo.WordEmbeddings(options_file, weight_file, cuda_device=0) 17 | SIF = sent_emb_sif.SentEmbeddings(ELMO, lamda=1.0) 18 | en_model = stanza.Pipeline(lang='en', processors={}, use_gpu=True) 19 | elmo_layers_weight = [0.0, 1.0, 0.0] 20 | 21 | text = "Discrete output feedback sliding mode control of second order systems - a moving switching line approach The sliding mode control systems (SMCS) for which the switching variable is designed independent of the initial conditions are known to be sensitive to parameter variations and extraneous disturbances during the reaching phase. For second order systems this drawback is eliminated by using the moving switching line technique where the switching line is initially designed to pass the initial conditions and is subsequently moved towards a predetermined switching line. In this paper, we make use of the above idea of moving switching line together with the reaching law approach to design a discrete output feedback sliding mode control. The main contributions of this work are such that we do not require to use system states as it makes use of only the output samples for designing the controller. and by using the moving switching line a low sensitivity system is obtained through shortening the reaching phase. Simulation results show that the fast output sampling feedback guarantees sliding motion similar to that obtained using state feedback" 22 | keyphrases = SIFRank(text, SIF, en_model, N=15, elmo_layers_weight=elmo_layers_weight) 23 | keyphrases_ = SIFRank_plus(text, SIF, en_model, N=15, elmo_layers_weight=elmo_layers_weight) 24 | print(keyphrases) 25 | print(keyphrases_) 26 | -------------------------------------------------------------------------------- /model/input_representation.py: -------------------------------------------------------------------------------- 1 | #! /usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | # __author__ = "Sponge" 4 | # Date: 2019/6/19 5 | 6 | import nltk 7 | from stanza import Pipeline 8 | 9 | stopword_dict = set(nltk.corpus.stopwords.words('english')) 10 | 11 | 12 | class InputTextObj: 13 | """Represent the input text in which we want to extract keyphrases""" 14 | 15 | def __init__(self, en_model: Pipeline, text=""): 16 | """ 17 | :param is_sectioned: If we want to section the text. 18 | :param en_model: the pipeline of tokenization and POS-tagger 19 | :param considered_tags: The POSs we want to keep 20 | """ 21 | self.phrase_extractor = PhraseExtractor() 22 | 23 | # get Document object of stanza (latest StanfordCoreNLP model) 24 | doc = en_model(text) 25 | self.tokens = [word.text for sentence in doc.sentences for word in sentence.words] 26 | self.tokens_tagged = [(word.text, word.xpos) for sentence in doc.sentences for word in sentence.words] 27 | 28 | # validate tokens and tagged tokens contain the same, then override stopwords tags 29 | assert len(self.tokens) == len(self.tokens_tagged) 30 | for i, token in enumerate(self.tokens): 31 | if token.lower() in stopword_dict: 32 | self.tokens_tagged[i] = (token, "IN") 33 | 34 | self.keyphrase_candidate = self.phrase_extractor.extract_candidates(self.tokens_tagged) 35 | 36 | 37 | class PhraseExtractor: 38 | 39 | def __init__(self): 40 | 41 | # GRAMMAR1 is the general way to extract NPs 42 | self.GRAMMAR1 = """ NP: 43 | {*} # Adjective(s)(optional) + Noun(s)""" 44 | 45 | self.GRAMMAR2 = """ NP: 46 | {*{0,3}} # Adjective(s)(optional) + Noun(s)""" 47 | 48 | self.GRAMMAR3 = """ NP: 49 | {*} # Adjective(s)(optional) + Noun(s)""" 50 | 51 | def extract_candidates(self, tokens_tagged): 52 | """ 53 | Based on part of speech return a list of candidate phrases 54 | :param text_obj: Input text Representation see @InputTextObj 55 | :return keyphrase_candidate: list of list of candidate phrases: [tuple(string,tuple(start_index,end_index))] 56 | """ 57 | np_parser = nltk.RegexpParser(self.GRAMMAR1) # Noun phrase parser 58 | keyphrase_candidate = [] 59 | np_pos_tag_tokens = np_parser.parse(tokens_tagged) 60 | count = 0 61 | for token in np_pos_tag_tokens: 62 | if (isinstance(token, nltk.tree.Tree) and token._label == "NP"): 63 | np = ' '.join(word for word, tag in token.leaves()) 64 | length = len(token.leaves()) 65 | start_end = (count, count + length) 66 | count += length 67 | keyphrase_candidate.append((np, start_end)) 68 | 69 | else: 70 | count += 1 71 | 72 | return keyphrase_candidate 73 | -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | FROM nvidia/cuda:10.1-base-ubuntu16.04 2 | 3 | # Install some basic utilities 4 | RUN apt-get update && apt-get install -y \ 5 | curl \ 6 | ca-certificates \ 7 | sudo \ 8 | git \ 9 | bzip2 \ 10 | libx11-6 \ 11 | build-essential \ 12 | wget \ 13 | unzip \ 14 | && rm -rf /var/lib/apt/lists/* 15 | 16 | # Create a working directory 17 | RUN mkdir /app 18 | WORKDIR /app 19 | 20 | # Create a non-root user and switch to it 21 | RUN adduser --disabled-password --gecos '' --shell /bin/bash user \ 22 | && chown -R user:user /app 23 | RUN echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user 24 | USER user 25 | 26 | # All users can use /home/user as their home directory 27 | ENV HOME=/home/user 28 | RUN chmod 777 /home/user 29 | 30 | # Install Miniconda 31 | RUN curl -so ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh \ 32 | && chmod +x ~/miniconda.sh \ 33 | && ~/miniconda.sh -b -p ~/miniconda \ 34 | && rm ~/miniconda.sh 35 | ENV PATH=/home/user/miniconda/bin:$PATH 36 | ENV CONDA_AUTO_UPDATE_CONDA=false 37 | 38 | # Create a Python 3.6 environment 39 | RUN /home/user/miniconda/bin/conda create -y --name py36 python=3.6.9 \ 40 | && /home/user/miniconda/bin/conda clean -ya 41 | ENV CONDA_DEFAULT_ENV=py36 42 | ENV CONDA_PREFIX=/home/user/miniconda/envs/$CONDA_DEFAULT_ENV 43 | ENV PATH=$CONDA_PREFIX/bin:$PATH 44 | RUN /home/user/miniconda/bin/conda install conda-build=3.18.9=py36_3 \ 45 | && /home/user/miniconda/bin/conda clean -ya 46 | 47 | # CUDA 10.1-specific steps 48 | RUN conda install -y -c pytorch \ 49 | cudatoolkit=10.1 \ 50 | "pytorch=1.4.0=py3.6_cuda10.1.243_cudnn7.6.3_0" \ 51 | "torchvision=0.5.0=py36_cu101" \ 52 | && conda clean -ya 53 | 54 | # Install OpenCV3 Python bindings 55 | RUN sudo apt-get update 56 | 57 | # Add requirements file 58 | WORKDIR /app/ 59 | ADD requirements.txt /app/ 60 | 61 | # Explicitly install jsonnet (for allennlp) 62 | RUN conda install -c conda-forge jsonnet 63 | 64 | # Install requirements 65 | RUN pip install --upgrade pip 66 | RUN pip install -r requirements.txt 67 | 68 | # Download NLTK data 69 | RUN python3 -c "import nltk; nltk.download('punkt'); nltk.download('wordnet'); nltk.download('stopwords'); import stanza; stanza.download('en');" 70 | 71 | # Move required resources 72 | ADD data/ /app/data/ 73 | ADD embeddings/ /app/embeddings/ 74 | ADD model/ /app/model/ 75 | ADD test/ /app/test/ 76 | ADD api.py /app/ 77 | ADD entrypoint.sh /app/ 78 | 79 | # Download ELMO model weights 80 | RUN sudo chmod 777 /app/ 81 | RUN curl https://s3-us-west-2.amazonaws.com/allennlp/models/elmo/2x4096_512_2048cnn_2xhighway/elmo_2x4096_512_2048cnn_2xhighway_weights.hdf5 --output elmo_2x4096_512_2048cnn_2xhighway_weights.hdf5 -v 82 | RUN sudo mv elmo_2x4096_512_2048cnn_2xhighway_weights.hdf5 data/ 83 | 84 | # Run flask api 85 | RUN ls /app/data/ 86 | WORKDIR /app/ 87 | RUN ls -al 88 | ENTRYPOINT ["python3"] 89 | CMD ["api.py"] 90 | -------------------------------------------------------------------------------- /model/method.py: -------------------------------------------------------------------------------- 1 | #! /usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | # __author__ = "Sponge" 4 | # Date: 2019/6/19 5 | 6 | import numpy as np 7 | import nltk 8 | from nltk.corpus import stopwords 9 | from model import input_representation 10 | import torch 11 | 12 | wnl = nltk.WordNetLemmatizer() 13 | stop_words = set(stopwords.words("english")) 14 | 15 | 16 | def cos_sim_gpu(x, y): 17 | assert x.shape[0] == y.shape[0] 18 | zero_tensor = torch.zeros((1, x.shape[0])).cuda() 19 | # zero_list = [0] * len(x) 20 | if x == zero_tensor or y == zero_tensor: 21 | return float(1) if x == y else float(0) 22 | xx, yy, xy = 0.0, 0.0, 0.0 23 | for i in range(x.shape[0]): 24 | xx += x[i] * x[i] 25 | yy += y[i] * y[i] 26 | xy += x[i] * y[i] 27 | return 1.0 - xy / np.sqrt(xx * yy) 28 | 29 | 30 | def cos_sim(vector_a, vector_b): 31 | """ 32 | 计算两个向量之间的余弦相似度 33 | :param vector_a: 向量 a 34 | :param vector_b: 向量 b 35 | :return: sim 36 | """ 37 | vector_a = np.mat(vector_a) 38 | vector_b = np.mat(vector_b) 39 | num = float(vector_a * vector_b.T) 40 | denom = np.linalg.norm(vector_a) * np.linalg.norm(vector_b) 41 | if (denom == 0.0): 42 | return 0.0 43 | else: 44 | cos = num / denom 45 | sim = 0.5 + 0.5 * cos 46 | return sim 47 | 48 | 49 | def cos_sim_transformer(vector_a, vector_b): 50 | """ 51 | 计算两个向量之间的余弦相似度 52 | :param vector_a: 向量 a 53 | :param vector_b: 向量 b 54 | :return: sim 55 | """ 56 | a = vector_a.detach().numpy() 57 | b = vector_b.detach().numpy() 58 | a = np.mat(a) 59 | b = np.mat(b) 60 | 61 | num = float(a * b.T) 62 | denom = np.linalg.norm(a) * np.linalg.norm(b) 63 | if (denom == 0.0): 64 | return 0.0 65 | else: 66 | cos = num / denom 67 | sim = 0.5 + 0.5 * cos 68 | return sim 69 | 70 | 71 | def get_dist_cosine(emb1, emb2, sent_emb_method="elmo", elmo_layers_weight=[0.0, 1.0, 0.0]): 72 | sum = 0.0 73 | assert emb1.shape == emb2.shape 74 | if (sent_emb_method == "elmo"): 75 | 76 | for i in range(0, 3): 77 | a = emb1[i] 78 | b = emb2[i] 79 | sum += cos_sim(a, b) * elmo_layers_weight[i] 80 | return sum 81 | 82 | elif (sent_emb_method == "elmo_transformer"): 83 | sum = cos_sim_transformer(emb1, emb2) 84 | return sum 85 | 86 | elif (sent_emb_method == "doc2vec"): 87 | sum = cos_sim(emb1, emb2) 88 | return sum 89 | 90 | elif (sent_emb_method == "glove"): 91 | sum = cos_sim(emb1, emb2) 92 | return sum 93 | return sum 94 | 95 | 96 | def get_all_dist(candidate_embeddings_list, text_obj, dist_list): 97 | ''' 98 | :param candidate_embeddings_list: 99 | :param text_obj: 100 | :param dist_list: 101 | :return: dist_all 102 | ''' 103 | 104 | dist_all = {} 105 | for i, emb in enumerate(candidate_embeddings_list): 106 | phrase = text_obj.keyphrase_candidate[i][0] 107 | phrase = phrase.lower() 108 | phrase = wnl.lemmatize(phrase) 109 | if (phrase in dist_all): 110 | # store the No. and distance 111 | dist_all[phrase].append(dist_list[i]) 112 | else: 113 | dist_all[phrase] = [] 114 | dist_all[phrase].append(dist_list[i]) 115 | return dist_all 116 | 117 | 118 | def get_final_dist(dist_all, method="average"): 119 | ''' 120 | :param dist_all: 121 | :param method: "average" 122 | :return: 123 | ''' 124 | 125 | final_dist = {} 126 | 127 | if (method == "average"): 128 | 129 | for phrase, dist_list in dist_all.items(): 130 | sum_dist = 0.0 131 | for dist in dist_list: 132 | sum_dist += dist 133 | if (phrase in stop_words): 134 | sum_dist = 0.0 135 | final_dist[phrase] = sum_dist / float(len(dist_list)) 136 | return final_dist 137 | 138 | 139 | def softmax(x): 140 | # x = x - np.max(x) 141 | exp_x = np.exp(x) 142 | softmax_x = exp_x / np.sum(exp_x) 143 | return softmax_x 144 | 145 | 146 | def get_position_score(keyphrase_candidate_list, position_bias): 147 | length = len(keyphrase_candidate_list) 148 | position_score = {} 149 | for i, kc in enumerate(keyphrase_candidate_list): 150 | np = kc[0] 151 | p = kc[1][0] 152 | np = np.lower() 153 | np = wnl.lemmatize(np) 154 | if np in position_score: 155 | 156 | position_score[np] += 0.0 157 | else: 158 | position_score[np] = 1 / (float(i) + 1 + position_bias) 159 | score_list = [] 160 | for np, score in position_score.items(): 161 | score_list.append(score) 162 | score_list = softmax(score_list) 163 | 164 | i = 0 165 | for np, score in position_score.items(): 166 | position_score[np] = score_list[i] 167 | i += 1 168 | return position_score 169 | 170 | 171 | def SIFRank(text, SIF, en_model, method="average", N=15, 172 | sent_emb_method="elmo", elmo_layers_weight=[0.0, 1.0, 0.0], if_DS=True, if_EA=True): 173 | """ 174 | :param text_obj: 175 | :param sent_embeddings: 176 | :param candidate_embeddings_list: 177 | :param sents_weight_list: 178 | :param method: 179 | :param N: the top-N number of keyphrases 180 | :param sent_emb_method: 'elmo', 'glove' 181 | :param elmo_layers_weight: the weights of different layers of ELMo 182 | :param if_DS: if take document segmentation(DS) 183 | :param if_EA: if take embeddings alignment(EA) 184 | :return: 185 | """ 186 | text_obj = input_representation.InputTextObj(en_model, text) 187 | sent_embeddings, candidate_embeddings_list = SIF.get_tokenized_sent_embeddings(text_obj, if_DS=if_DS, if_EA=if_EA) 188 | dist_list = [] 189 | for i, emb in enumerate(candidate_embeddings_list): 190 | dist = get_dist_cosine(sent_embeddings, emb, sent_emb_method, elmo_layers_weight=elmo_layers_weight) 191 | dist_list.append(dist) 192 | dist_all = get_all_dist(candidate_embeddings_list, text_obj, dist_list) 193 | dist_final = get_final_dist(dist_all, method=method) 194 | dist_sorted = sorted(dist_final.items(), key=lambda x: x[1], reverse=True) 195 | keywords = [item[0] for item in dist_sorted] 196 | relevance = [item[1] for item in dist_sorted] 197 | 198 | return keywords, relevance 199 | 200 | 201 | def SIFRank_plus(text, SIF, en_model, method="average", N=15, 202 | sent_emb_method="elmo", elmo_layers_weight=[0.0, 1.0, 0.0], if_DS=True, if_EA=True, position_bias=3.4): 203 | """ 204 | :param text_obj: 205 | :param sent_embeddings: 206 | :param candidate_embeddings_list: 207 | :param sents_weight_list: 208 | :param method: 209 | :param N: the top-N number of keyphrases 210 | :param sent_emb_method: 'elmo', 'glove' 211 | :param elmo_layers_weight: the weights of different layers of ELMo 212 | :return: 213 | """ 214 | text_obj = input_representation.InputTextObj(en_model, text) 215 | sent_embeddings, candidate_embeddings_list = SIF.get_tokenized_sent_embeddings(text_obj, if_DS=if_DS, if_EA=if_EA) 216 | position_score = get_position_score(text_obj.keyphrase_candidate, position_bias) 217 | average_score = sum(position_score.values()) / (float)(len(position_score)) # Little change here 218 | dist_list = [] 219 | for i, emb in enumerate(candidate_embeddings_list): 220 | dist = get_dist_cosine(sent_embeddings, emb, sent_emb_method, elmo_layers_weight=elmo_layers_weight) 221 | dist_list.append(dist) 222 | dist_all = get_all_dist(candidate_embeddings_list, text_obj, dist_list) 223 | dist_final = get_final_dist(dist_all, method=method) 224 | for np, dist in dist_final.items(): 225 | if np in position_score: 226 | dist_final[np] = dist * position_score[np] / average_score # Little change here 227 | dist_sorted = sorted(dist_final.items(), key=lambda x: x[1], reverse=True) 228 | keywords = [item[0] for item in dist_sorted] 229 | relevance = [item[1] for item in dist_sorted] 230 | 231 | return keywords, relevance 232 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## SIFRank serving 2 | 3 | see original paper [SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model](https://ieeexplore.ieee.org/document/8954611) 4 | 5 | # Getting Started 6 | 7 | ## docker-compose parameters 8 | Flask api running on port 5000 will be mapped to outer 5001 port. 9 | (it uses docker-compose version 2.3 which supports `runtime: nvidia` to easily use GPU environment inside container) 10 | ```yaml 11 | version: '2.3' 12 | services: 13 | sifrank_serving: 14 | container_name: sifrank_serving 15 | build: . 16 | ports: 17 | - "5001:5000" 18 | runtime: nvidia 19 | environment: 20 | - NVIDIA_VISIBLE_DEVICES=all 21 | ``` 22 | 23 | ## Running Docker Container 24 | Probably the easiest way to get started is by using the provided Docker image. 25 | From the project's root directory, the image can be built and running like so: 26 | ``` 27 | $ docker-compose up --build -d 28 | ``` 29 | This can take a several minutes to finish. All model files and everything will be downloaded automatically. 30 | 31 | ## Flask API (inside container) 32 | This return for each text a tuple containing three lists: 33 | 1) The top N candidates (string) i.e keyphrases 34 | 2) For each keyphrase the associated relevance score 35 | 36 | ```python 37 | import nltk 38 | import stanza 39 | from flask import Flask, jsonify, request 40 | from waitress import serve 41 | 42 | from embeddings import sent_emb_sif, word_emb_elmo 43 | from model.method import SIFRank, SIFRank_plus 44 | 45 | app = Flask(__name__) 46 | 47 | 48 | @app.route('/sifrank', methods=['POST']) 49 | def sifrank(): 50 | data = request.json 51 | query = data.get("text", "") 52 | top_n = int(data.get("n", 15)) 53 | 54 | keywords = SIFRank(query, SIF, en_model, N=top_n, elmo_layers_weight=elmo_layers_weight) 55 | 56 | return jsonify(keywords) 57 | 58 | 59 | @app.route('/sifrankplus', methods=['POST']) 60 | def sifrankplus(): 61 | data = request.json 62 | query = data.get("text", "") 63 | top_n = int(data.get("n", 15)) 64 | 65 | keywords = SIFRank_plus(query, SIF, en_model, N=top_n, elmo_layers_weight=elmo_layers_weight) 66 | 67 | return jsonify(keywords) 68 | 69 | 70 | if __name__ == '__main__': 71 | data_dir = "data/" 72 | options_file = f"{data_dir}elmo_2x4096_512_2048cnn_2xhighway_options.json" 73 | weight_file = f"{data_dir}elmo_2x4096_512_2048cnn_2xhighway_weights.hdf5" 74 | cuda_device = 0 75 | 76 | porter = nltk.PorterStemmer() 77 | ELMO = word_emb_elmo.WordEmbeddings(options_file=options_file, weight_file=weight_file, cuda_device=cuda_device) 78 | SIF = sent_emb_sif.SentEmbeddings(word_embeddor=ELMO, data_dir=data_dir, lamda=1.0) 79 | en_model = stanza.Pipeline(lang='en', processors={}, use_gpu=True) 80 | elmo_layers_weight = [0.0, 1.0, 0.0] 81 | 82 | serve(app, host="0.0.0.0", port=5000) 83 | ``` 84 | 85 | ## Curl example to call API 86 | 87 | You can simply query from terminal 88 | ```bash 89 | curl --location --request POST 'http://0.0.0.0:5001/sifrank' \ 90 | --header 'Content-Type: application/json' \ 91 | --data-raw '{"text": "A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model.", "n":10}' 92 | 93 | curl --location --request POST 'http://0.0.0.0:5001/sifrankplus' \ 94 | --header 'Content-Type: application/json' \ 95 | --data-raw '{"text": "A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model.", "n":10}' 96 | ``` 97 | 98 | Response 99 | ```bash 100 | [["pre-trained language model","new baseline","keyphrase extraction"],[0.91609799642446,0.8865735384713,0.8844055415033372]] 101 | [["new baseline","pre-trained language model","keyphrase extraction"],[0.9202464080510155,0.88569978675073,0.8801616342917246]] 102 | ``` 103 | 104 | ## POST request from python 105 | ```python 106 | import json 107 | import requests 108 | 109 | sifrank_url = f"http://0.0.0.0:5001/sifrank" 110 | sifrank_plus_url = f"http://0.0.0.0:5001/sifrankplus" 111 | 112 | data = {"text": "A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model.", "lang":"en", "n":10} 113 | sifrank_result = requests.post(sifrank_url, json=data) 114 | sifrank_plus_result = requests.post(sifrank_plus_url, json=data) 115 | 116 | sifrank_content = json.loads(sifrank_result.content) 117 | sifrank_plus_content = json.loads(sifrank_plus_result.content) 118 | 119 | sifrank_keywords = sifrank_content[0] 120 | sifrank_relevance_scores = sifrank_content[1] 121 | 122 | sifrank_plus_keywords = sifrank_plus_content[0] 123 | sifrank_plus_relevance_scores = sifrank_plus_content[1] 124 | ``` 125 | 126 | ## Local Run 127 | 128 | ## requirements 129 | ```text 130 | allennlp==0.9.0 131 | stanza==1.0.0 132 | waitress==1.4.3 133 | ``` 134 | ## Download Models 135 | * ELMo ``elmo_2x4096_512_2048cnn_2xhighway_options.json`` (already downloaded in `data/`) and 136 | ``elmo_2x4096_512_2048cnn_2xhighway_weights.hdf5`` from [here](https://allennlp.org/elmo) , and save it to the `data/` directory 137 | 138 | ## Sample usage 139 | ```python 140 | import nltk 141 | from embeddings import sent_emb_sif, word_emb_elmo 142 | from model.method import SIFRank, SIFRank_plus 143 | import stanza 144 | 145 | # download from https://allennlp.org/elmo 146 | options_file = "data/elmo_2x4096_512_2048cnn_2xhighway_options.json" 147 | weight_file = "data/elmo_2x4096_512_2048cnn_2xhighway_weights.hdf5" 148 | 149 | porter = nltk.PorterStemmer() 150 | ELMO = word_emb_elmo.WordEmbeddings(options_file, weight_file, cuda_device=0) 151 | SIF = sent_emb_sif.SentEmbeddings(ELMO, lamda=1.0) 152 | en_model = stanza.Pipeline(lang='en', processors={}, use_gpu=True) 153 | elmo_layers_weight = [0.0, 1.0, 0.0] 154 | 155 | text = "Discrete output feedback sliding mode control of second order systems - a moving switching line approach The sliding mode control systems (SMCS) for which the switching variable is designed independent of the initial conditions are known to be sensitive to parameter variations and extraneous disturbances during the reaching phase. For second order systems this drawback is eliminated by using the moving switching line technique where the switching line is initially designed to pass the initial conditions and is subsequently moved towards a predetermined switching line. In this paper, we make use of the above idea of moving switching line together with the reaching law approach to design a discrete output feedback sliding mode control. The main contributions of this work are such that we do not require to use system states as it makes use of only the output samples for designing the controller. and by using the moving switching line a low sensitivity system is obtained through shortening the reaching phase. Simulation results show that the fast output sampling feedback guarantees sliding motion similar to that obtained using state feedback" 156 | keyphrases = SIFRank(text, SIF, en_model, N=15, elmo_layers_weight=elmo_layers_weight) 157 | keyphrases_ = SIFRank_plus(text, SIF, en_model, N=15, elmo_layers_weight=elmo_layers_weight) 158 | print(keyphrases) 159 | print(keyphrases_) 160 | ``` 161 | 162 | ## SIFRank evaluation results from original [repository](https://github.com/sunyilgdx/SIFRank) 163 | **F1 score** when the number of keyphrases extracted N is set to 5. 164 | 165 | | Models | Inspec | SemEval2017 | DUC2001 | 166 | | :----- | :----: | :----: |:----: | 167 | | TFIDF | 11.28 | 12.70 | 9.21 | 168 | | YAKE | 15.73 | 11.84 | 10.61 | 169 | | TextRank | 24.39 | 16.43 | 13.94 | 170 | | SingleRank | 24.69 | 18.23 | 21.56 | 171 | | TopicRank | 22.76 | 17.10 | 20.37 | 172 | | PositionRank | 25.19 | 18.23 | 24.95 | 173 | | Multipartite | 23.05 | 17.39 | 21.86 | 174 | | RVA | 21.91 | 19.59 | 20.32 | 175 | | EmbedRank d2v| 27.20 | 20.21 | 21.74 | 176 | | SIFRank | **29.11** | **22.59** | 24.27 | 177 | | SIFRank+ | 28.49 | 21.53 | **30.88** | 178 | 179 | ## Cite 180 | If you use this code, please cite this paper 181 | ``` 182 | @article{DBLP:journals/access/SunQZWZ20, 183 | author = {Yi Sun and 184 | Hangping Qiu and 185 | Yu Zheng and 186 | Zhongwei Wang and 187 | Chaoran Zhang}, 188 | title = {SIFRank: {A} New Baseline for Unsupervised Keyphrase Extraction Based 189 | on Pre-Trained Language Model}, 190 | journal = {{IEEE} Access}, 191 | volume = {8}, 192 | pages = {10896--10906}, 193 | year = {2020}, 194 | url = {https://doi.org/10.1109/ACCESS.2020.2965087}, 195 | doi = {10.1109/ACCESS.2020.2965087}, 196 | timestamp = {Fri, 07 Feb 2020 12:04:22 +0100}, 197 | biburl = {https://dblp.org/rec/journals/access/SunQZWZ20.bib}, 198 | bibsource = {dblp computer science bibliography, https://dblp.org} 199 | } 200 | ``` 201 | -------------------------------------------------------------------------------- /embeddings/sent_emb_sif.py: -------------------------------------------------------------------------------- 1 | #! /usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | # __author__ = "Sponge" 4 | # Date: 2019/6/19 5 | import numpy 6 | import torch 7 | import nltk 8 | from nltk.corpus import stopwords 9 | 10 | english_punctuations = [',', '.', ':', ';', '?', '(', ')', '[', ']', '&', '!', '*', '@', '#', '$', '%'] 11 | stop_words = set(stopwords.words("english")) 12 | wnl = nltk.WordNetLemmatizer() 13 | considered_tags = {'NN', 'NNS', 'NNP', 'NNPS', 'JJ', 'VBG'} 14 | 15 | 16 | class SentEmbeddings: 17 | 18 | def __init__(self, word_embeddor, data_dir, weightpara_pretrain=2.7e-4, weightpara_finetune=2.7e-4, 19 | lamda=1.0, database="", embeddings_type="elmo"): 20 | 21 | weightfile_pretrain = f'{data_dir}enwiki_vocab_min200.txt' 22 | 23 | if (database == "Inspec"): 24 | weightfile_finetune = f'{data_dir}inspec_vocab.txt' 25 | elif (database == "Duc2001"): 26 | weightfile_finetune = f'{data_dir}duc2001_vocab.txt' 27 | elif (database == "SemEval2017"): 28 | weightfile_finetune = f'{data_dir}semeval_vocab.txt' 29 | else: 30 | weightfile_finetune = f'{data_dir}enwiki_vocab_min200.txt' 31 | 32 | self.word2weight_pretrain = get_word_weight(weightfile_pretrain, weightpara_pretrain) 33 | self.word2weight_finetune = get_word_weight(weightfile_finetune, weightpara_finetune) 34 | self.word_embeddor = word_embeddor 35 | self.lamda = lamda 36 | self.database = database 37 | self.embeddings_type = embeddings_type 38 | 39 | def get_tokenized_sent_embeddings(self, text_obj, if_DS=False, if_EA=False): 40 | """ 41 | Based on part of speech return a list of candidate phrases 42 | :param text_obj: Input text Representation see @InputTextObj 43 | :param if_DS: if take document segmentation(DS) 44 | :param if_EA: if take embeddings alignment(EA) 45 | """ 46 | # choose the type of word embeddings:elmo or elmo_transformer or glove 47 | if (self.embeddings_type == "elmo" and if_DS == False): 48 | elmo_embeddings, elmo_mask = self.word_embeddor.get_tokenized_words_embeddings([text_obj.tokens]) 49 | elif (self.embeddings_type == "elmo" and if_DS == True and if_EA == False): 50 | tokens_segmented = get_sent_segmented(text_obj.tokens) 51 | elmo_embeddings, elmo_mask = self.word_embeddor.get_tokenized_words_embeddings(tokens_segmented) 52 | elmo_embeddings = splice_embeddings(elmo_embeddings, tokens_segmented) 53 | elif (self.embeddings_type == "elmo" and if_DS == True and if_EA == True): 54 | tokens_segmented = get_sent_segmented(text_obj.tokens) 55 | elmo_embeddings, elmo_mask = self.word_embeddor.get_tokenized_words_embeddings(tokens_segmented) 56 | elmo_embeddings = context_embeddings_alignment(elmo_embeddings, tokens_segmented) 57 | elmo_embeddings = splice_embeddings(elmo_embeddings, tokens_segmented) 58 | 59 | # elif(self.embeddings_type=="elmo_transformer"): 60 | # elmo_embeddings= self.word_embeddor.get_tokenized_words_embeddings([text_obj.tokens]) 61 | # elif (self.embeddings_type == "glove"): 62 | # elmo_embeddings = self.word_embeddor.get_tokenized_words_embeddings([text_obj.tokens]) 63 | 64 | else: 65 | elmo_embeddings, elmo_mask = self.word_embeddor.get_tokenized_words_embeddings(text_obj.tokens) 66 | 67 | candidate_embeddings_list = [] 68 | 69 | weight_list = get_weight_list(self.word2weight_pretrain, self.word2weight_finetune, text_obj.tokens, 70 | lamda=self.lamda, database=self.database) 71 | 72 | sent_embeddings = get_weighted_average(text_obj.tokens, text_obj.tokens_tagged, weight_list, elmo_embeddings[0], 73 | embeddings_type=self.embeddings_type) 74 | 75 | for kc in text_obj.keyphrase_candidate: 76 | start = kc[1][0] 77 | end = kc[1][1] 78 | kc_emb = get_candidate_weighted_average(text_obj.tokens, weight_list, elmo_embeddings[0], start, end, 79 | embeddings_type=self.embeddings_type) 80 | candidate_embeddings_list.append(kc_emb) 81 | 82 | return sent_embeddings, candidate_embeddings_list 83 | 84 | 85 | def context_embeddings_alignment(elmo_embeddings, tokens_segmented): 86 | """ 87 | Embeddings Alignment 88 | :param elmo_embeddings: The embeddings from elmo 89 | :param tokens_segmented: The list of tokens list 90 | : [['Twenty', 'years', ...,'practices', '.'],['The', 'out-of-print',..., 'libraries']] 91 | :return: 92 | """ 93 | token_emb_map = {} 94 | n = 0 95 | for i in range(0, len(tokens_segmented)): 96 | 97 | for j, token in enumerate(tokens_segmented[i]): 98 | 99 | emb = elmo_embeddings[i, 1, j, :] 100 | if token not in token_emb_map: 101 | token_emb_map[token] = [emb] 102 | else: 103 | token_emb_map[token].append(emb) 104 | n += 1 105 | 106 | anchor_emb_map = {} 107 | for token, emb_list in token_emb_map.items(): 108 | average_emb = emb_list[0] 109 | for j in range(1, len(emb_list)): 110 | average_emb += emb_list[j] 111 | average_emb /= float(len(emb_list)) 112 | anchor_emb_map[token] = average_emb 113 | 114 | for i in range(0, elmo_embeddings.shape[0]): 115 | for j, token in enumerate(tokens_segmented[i]): 116 | emb = anchor_emb_map[token] 117 | elmo_embeddings[i, 2, j, :] = emb 118 | 119 | return elmo_embeddings 120 | 121 | 122 | def mat_division(vector_a, vector_b): 123 | a = vector_a.detach().numpy() 124 | b = vector_b.detach().numpy() 125 | A = numpy.mat(a) 126 | B = numpy.mat(b) 127 | # if numpy.linalg.det(B) == 0: 128 | # print("This matrix is singular, cannot be inversed!") 129 | # return 130 | return torch.from_numpy(numpy.dot(A.I, B)) 131 | 132 | 133 | def get_sent_segmented(tokens): 134 | min_seq_len = 16 135 | sents_sectioned = [] 136 | if (len(tokens) <= min_seq_len): 137 | sents_sectioned.append(tokens) 138 | else: 139 | position = 0 140 | for i, token in enumerate(tokens): 141 | if (token == '.'): 142 | if (i - position >= min_seq_len): 143 | sents_sectioned.append(tokens[position:i + 1]) 144 | position = i + 1 145 | if (len(tokens[position:]) > 0): 146 | sents_sectioned.append(tokens[position:]) 147 | 148 | return sents_sectioned 149 | 150 | 151 | def splice_embeddings(elmo_embeddings, tokens_segmented): 152 | new_elmo_embeddings = elmo_embeddings[0:1, :, 0:len(tokens_segmented[0]), :] 153 | for i in range(1, len(tokens_segmented)): 154 | emb = elmo_embeddings[i:i + 1, :, 0:len(tokens_segmented[i]), :] 155 | new_elmo_embeddings = torch.cat((new_elmo_embeddings, emb), 2) 156 | return new_elmo_embeddings 157 | 158 | 159 | def get_effective_words_num(tokened_sents): 160 | i = 0 161 | for token in tokened_sents: 162 | if (token not in english_punctuations): 163 | i += 1 164 | return i 165 | 166 | 167 | def get_weighted_average(tokenized_sents, sents_tokened_tagged, weight_list, embeddings_list, embeddings_type="elmo"): 168 | # weight_list=get_normalized_weight(weight_list) 169 | assert len(tokenized_sents) == len(weight_list) 170 | num_words = len(tokenized_sents) 171 | e_test_list = [] 172 | if (embeddings_type == "elmo" or embeddings_type == "elmo_sectioned"): 173 | # assert num_words == embeddings_list.shape[1] 174 | sum = torch.zeros((3, 1024)) 175 | for i in range(0, 3): 176 | for j in range(0, num_words): 177 | if (sents_tokened_tagged[j][1] in considered_tags): 178 | e_test = embeddings_list[i][j] 179 | e_test_list.append(e_test) 180 | sum[i] += e_test * weight_list[j] 181 | 182 | sum[i] = sum[i] / float(num_words) 183 | return sum 184 | elif (embeddings_type == "elmo_transformer"): 185 | sum = torch.zeros((1, 1024)) 186 | for i in range(0, 1): 187 | for j in range(0, num_words): 188 | if (sents_tokened_tagged[j][1] in considered_tags): 189 | e_test = embeddings_list[i][j] 190 | e_test_list.append(e_test) 191 | sum[i] += e_test * weight_list[j] 192 | sum[i] = sum[i] / float(num_words) 193 | return sum 194 | elif (embeddings_type == "glove"): 195 | sum = numpy.zeros((1, embeddings_list.shape[2])) 196 | for i in range(0, 1): 197 | for j in range(0, num_words): 198 | if (sents_tokened_tagged[j][1] in considered_tags): 199 | e_test = embeddings_list[i][j] 200 | e_test_list.append(e_test) 201 | sum[i] += e_test * weight_list[j] 202 | sum[i] = sum[i] / float(num_words) 203 | return sum 204 | 205 | return 0 206 | 207 | 208 | def get_candidate_weighted_average(tokenized_sents, weight_list, embeddings_list, start, end, embeddings_type="elmo"): 209 | # weight_list=get_normalized_weight(weight_list) 210 | assert len(tokenized_sents) == len(weight_list) 211 | # num_words = len(tokenized_sents) 212 | num_words = end - start 213 | e_test_list = [] 214 | if (embeddings_type == "elmo" or embeddings_type == "elmo_sectioned"): 215 | # assert num_words == embeddings_list.shape[1] 216 | sum = torch.zeros((3, 1024)) 217 | for i in range(0, 3): 218 | for j in range(start, end): 219 | e_test = embeddings_list[i][j] 220 | e_test_list.append(e_test) 221 | sum[i] += e_test * weight_list[j] 222 | sum[i] = sum[i] / float(num_words) 223 | 224 | return sum 225 | elif (embeddings_type == "elmo_transformer"): 226 | # assert num_words == embeddings_list.shape[1] 227 | sum = torch.zeros((1, 1024)) 228 | for i in range(0, 1): 229 | for j in range(start, end): 230 | e_test = embeddings_list[i][j] 231 | e_test_list.append(e_test) 232 | sum[i] += e_test * weight_list[j] 233 | sum[i] = sum[i] / float(num_words) 234 | return sum 235 | 236 | elif (embeddings_type == "glove"): 237 | # assert num_words == embeddings_list.shape[1] 238 | sum = numpy.zeros((1, embeddings_list.shape[2])) 239 | for i in range(0, 1): 240 | for j in range(start, end): 241 | e_test = embeddings_list[i][j] 242 | e_test_list.append(e_test) 243 | sum[i] += e_test * weight_list[j] 244 | sum[i] = sum[i] / float(num_words) 245 | return sum 246 | 247 | return 0 248 | 249 | 250 | def get_oov_weight(tokenized_sents, word2weight, word, method="max_weight"): 251 | word = wnl.lemmatize(word) 252 | 253 | if (word in word2weight): # 254 | return word2weight[word] 255 | 256 | if (word in stop_words): 257 | return 0.0 258 | 259 | if (word in english_punctuations): # The oov_word is a punctuation 260 | return 0.0 261 | 262 | if (len(word) <= 2): # The oov_word makes no sense 263 | return 0.0 264 | 265 | if (method == "max_weight"): # Return the max weight of word in the tokenized_sents 266 | max = 0.0 267 | for w in tokenized_sents: 268 | if (w in word2weight and word2weight[w] > max): 269 | max = word2weight[w] 270 | return max 271 | return 0.0 272 | 273 | 274 | def get_weight_list(word2weight_pretrain, word2weight_finetune, tokenized_sents, lamda, database=""): 275 | weight_list = [] 276 | for word in tokenized_sents: 277 | word = word.lower() 278 | 279 | if (database == ""): 280 | weight_pretrain = get_oov_weight(tokenized_sents, word2weight_pretrain, word, method="max_weight") 281 | weight = weight_pretrain 282 | else: 283 | weight_pretrain = get_oov_weight(tokenized_sents, word2weight_pretrain, word, method="max_weight") 284 | weight_finetune = get_oov_weight(tokenized_sents, word2weight_finetune, word, method="max_weight") 285 | weight = lamda * weight_pretrain + (1.0 - lamda) * weight_finetune 286 | weight_list.append(weight) 287 | 288 | return weight_list 289 | 290 | 291 | def get_normalized_weight(weight_list): 292 | sum_weight = 0.0 293 | for weight in weight_list: 294 | sum_weight += weight 295 | if (sum_weight == 0.0): 296 | return weight_list 297 | 298 | for i in range(0, len(weight_list)): 299 | weight_list[i] /= sum_weight 300 | return weight_list 301 | 302 | 303 | def get_word_weight(weightfile="", weightpara=2.7e-4): 304 | """ 305 | Get the weight of words by word_fre/sum_fre_words 306 | :param weightfile 307 | :param weightpara 308 | :return: word2weight[word]=weight : a dict of word weight 309 | """ 310 | if weightpara <= 0: # when the parameter makes no sense, use unweighted 311 | weightpara = 1.0 312 | word2weight = {} 313 | word2fre = {} 314 | with open(weightfile, encoding='UTF-8') as f: 315 | lines = f.readlines() 316 | # sum_num_words = 0 317 | sum_fre_words = 0 318 | for line in lines: 319 | word_fre = line.split() 320 | # sum_num_words += 1 321 | if (len(word_fre) == 2): 322 | word2fre[word_fre[0]] = float(word_fre[1]) 323 | sum_fre_words += float(word_fre[1]) 324 | else: 325 | print(line) 326 | for key, value in word2fre.items(): 327 | word2weight[key] = weightpara / (weightpara + value / sum_fre_words) 328 | # word2weight[key] = 1.0 #method of RVA 329 | return word2weight 330 | -------------------------------------------------------------------------------- /data/semeval_vocab.txt: -------------------------------------------------------------------------------- 1 | the 6618 2 | of 3474 3 | and 2106 4 | in 1999 5 | to 1886 6 | is 1324 7 | for 1037 8 | with 700 9 | that 657 10 | are 640 11 | this 612 12 | by 581 13 | be 530 14 | on 494 15 | it 389 16 | we 380 17 | an 369 18 | which 347 19 | can 345 20 | model 340 21 | at 328 22 | from 318 23 | wa 314 24 | method 298 25 | system 248 26 | have 247 27 | been 241 28 | ha 235 29 | used 227 30 | or 219 31 | not 201 32 | using 195 33 | were 184 34 | such 184 35 | these 181 36 | result 172 37 | surface 169 38 | data 165 39 | also 161 40 | one 158 41 | time 157 42 | between 154 43 | approach 144 44 | al 144 45 | study 141 46 | energy 141 47 | particle 134 48 | however 133 49 | process 130 50 | et 130 51 | based 129 52 | analysis 129 53 | phase 126 54 | their 125 55 | field 123 56 | temperature 123 57 | problem 120 58 | into 120 59 | state 119 60 | number 118 61 | high 116 62 | material 116 63 | where 115 64 | paper 114 65 | different 114 66 | case 113 67 | structure 111 68 | function 111 69 | two 110 70 | solution 107 71 | order 105 72 | only 105 73 | all 103 74 | parameter 103 75 | but 102 76 | algorithm 102 77 | potential 101 78 | effect 101 79 | use 101 80 | there 100 81 | both 99 82 | first 99 83 | more 98 84 | interaction 96 85 | show 95 86 | value 95 87 | may 95 88 | property 92 89 | due 92 90 | 10 91 91 | technique 90 92 | each 90 93 | our 89 94 | fig 89 95 | some 88 96 | most 88 97 | other 87 98 | very 85 99 | sample 85 100 | application 85 101 | work 84 102 | they 84 103 | when 84 104 | simulation 83 105 | form 82 106 | present 80 107 | equation 79 108 | then 79 109 | than 79 110 | set 79 111 | within 78 112 | wave 77 113 | since 76 114 | through 76 115 | density 76 116 | element 75 117 | new 74 118 | flow 73 119 | will 72 120 | level 72 121 | 12 71 122 | electron 70 123 | rate 70 124 | film 70 125 | no 69 126 | network 69 127 | shown 69 128 | while 69 129 | proposed 69 130 | reaction 68 131 | small 68 132 | could 67 133 | measurement 67 134 | condition 67 135 | calculation 67 136 | under 67 137 | point 67 138 | during 66 139 | change 66 140 | example 65 141 | single 65 142 | mass 65 143 | cell 65 144 | theory 64 145 | well 64 146 | layer 64 147 | if 63 148 | experimental 63 149 | scheme 63 150 | range 62 151 | water 61 152 | important 60 153 | section 60 154 | performance 60 155 | current 60 156 | obtained 59 157 | large 59 158 | mechanism 59 159 | information 58 160 | size 58 161 | same 58 162 | design 58 163 | so 58 164 | gas 58 165 | dynamic 57 166 | numerical 57 167 | after 57 168 | low 57 169 | distribution 56 170 | 17 56 171 | applied 56 172 | test 56 173 | alloy 56 174 | stress 56 175 | region 55 176 | constant 55 177 | many 55 178 | thickness 55 179 | 11 54 180 | considered 54 181 | up 54 182 | found 54 183 | component 54 184 | further 53 185 | observed 53 186 | several 52 187 | 13 51 188 | 15 51 189 | therefore 51 190 | geometry 51 191 | space 50 192 | development 50 193 | quark 50 194 | experiment 50 195 | over 50 196 | factor 50 197 | oxide 50 198 | polymer 50 199 | thus 49 200 | because 49 201 | 16 48 202 | scale 48 203 | molecule 48 204 | direction 48 205 | chain 48 206 | linear 48 207 | matrix 48 208 | given 48 209 | feature 47 210 | type 47 211 | three 47 212 | frequency 47 213 | error 47 214 | see 46 215 | mean 46 216 | presented 46 217 | here 46 218 | nuclear 45 219 | control 45 220 | magnetic 45 221 | term 45 222 | prediction 45 223 | mesh 45 224 | various 45 225 | area 44 226 | allows 44 227 | local 44 228 | difference 44 229 | about 44 230 | known 43 231 | 18 43 232 | make 43 233 | compared 43 234 | related 42 235 | provide 42 236 | would 42 237 | calculated 42 238 | addition 42 239 | average 42 240 | without 42 241 | 14 41 242 | quantum 41 243 | research 41 244 | finite 41 245 | boundary 41 246 | although 41 247 | formation 41 248 | image 41 249 | increase 41 250 | chemical 40 251 | 20 40 252 | metal 40 253 | measured 40 254 | signal 40 255 | framework 40 256 | power 40 257 | good 40 258 | available 39 259 | transition 39 260 | ion 39 261 | interface 39 262 | out 39 263 | performed 39 264 | contribution 39 265 | momentum 39 266 | crack 39 267 | complex 38 268 | recent 38 269 | should 38 270 | recently 38 271 | 19 38 272 | carbon 38 273 | any 38 274 | developed 38 275 | characteristic 38 276 | fluid 38 277 | liquid 37 278 | particular 37 279 | way 37 280 | described 37 281 | second 37 282 | computational 37 283 | consider 36 284 | spin 36 285 | thermal 36 286 | resulting 36 287 | accuracy 36 288 | mode 36 289 | limit 35 290 | associated 35 291 | decay 35 292 | defect 35 293 | charge 35 294 | group 35 295 | provides 34 296 | mechanical 34 297 | step 34 298 | general 34 299 | length 34 300 | specific 34 301 | need 34 302 | higher 34 303 | part 34 304 | possible 34 305 | multiple 34 306 | domain 34 307 | doe 33 308 | similar 33 309 | 23 33 310 | even 33 311 | being 33 312 | growth 33 313 | lead 32 314 | expansion 32 315 | force 32 316 | device 32 317 | symmetry 32 318 | above 32 319 | oxidation 32 320 | production 32 321 | efficiency 32 322 | extended 31 323 | how 31 324 | significant 31 325 | evolution 31 326 | reported 31 327 | studied 31 328 | relatively 31 329 | especially 31 330 | pressure 31 331 | reduction 31 332 | include 30 333 | critical 30 334 | including 30 335 | measure 30 336 | give 30 337 | atom 30 338 | previous 30 339 | required 30 340 | steel 30 341 | velocity 30 342 | stability 30 343 | reactor 30 344 | initial 30 345 | node 30 346 | distance 30 347 | via 30 348 | core 30 349 | diffusion 30 350 | shape 30 351 | still 29 352 | cluster 29 353 | do 29 354 | corresponding 29 355 | future 29 356 | coupling 29 357 | photon 29 358 | direct 29 359 | previously 29 360 | 24 29 361 | resolution 29 362 | observation 29 363 | 25 29 364 | standard 29 365 | composition 29 366 | scattering 29 367 | uncertainty 29 368 | along 29 369 | contact 29 370 | glass 29 371 | meson 29 372 | larger 28 373 | find 28 374 | nature 28 375 | theoretical 28 376 | fact 28 377 | light 28 378 | phenomenon 28 379 | provided 28 380 | table 28 381 | coating 28 382 | strength 28 383 | often 28 384 | operator 28 385 | pattern 28 386 | neutrino 28 387 | molecular 27 388 | laser 27 389 | simple 27 390 | detail 27 391 | accurate 27 392 | 30 27 393 | behaviour 27 394 | procedure 27 395 | effective 27 396 | final 27 397 | load 27 398 | variation 27 399 | account 27 400 | wall 27 401 | gradient 27 402 | strain 27 403 | formulation 27 404 | normal 27 405 | polymerization 27 406 | relation 26 407 | 21 26 408 | description 26 409 | respectively 26 410 | optical 26 411 | produce 26 412 | spectrum 26 413 | issue 26 414 | influence 26 415 | minimum 26 416 | generation 26 417 | basis 26 418 | advantage 26 419 | corrosion 26 420 | according 26 421 | expected 26 422 | ratio 26 423 | vector 26 424 | content 26 425 | 22 25 426 | approximation 25 427 | much 25 428 | etc 25 429 | coupled 25 430 | principle 25 431 | product 25 432 | beam 25 433 | tested 25 434 | coefficient 25 435 | widely 25 436 | software 25 437 | following 25 438 | propagation 25 439 | transport 25 440 | technology 25 441 | polynomial 25 442 | collision 25 443 | them 25 444 | cost 25 445 | volume 25 446 | user 25 447 | source 25 448 | sentence 25 449 | lower 24 450 | role 24 451 | classical 24 452 | treatment 24 453 | global 24 454 | class 24 455 | free 24 456 | absorption 24 457 | discussed 24 458 | oxygen 24 459 | estimate 24 460 | defined 24 461 | operation 24 462 | substrate 24 463 | carried 24 464 | total 24 465 | obtain 24 466 | behavior 24 467 | literature 24 468 | comparison 24 469 | heat 24 470 | derived 24 471 | moreover 24 472 | showed 24 473 | physical 24 474 | input 24 475 | increasing 24 476 | stable 24 477 | variable 24 478 | solid 24 479 | weight 23 480 | positive 23 481 | taken 23 482 | tool 23 483 | series 23 484 | increased 23 485 | optimal 23 486 | main 23 487 | either 23 488 | existing 23 489 | presence 23 490 | profile 23 491 | 27 23 492 | determined 23 493 | made 23 494 | dimension 23 495 | constraint 23 496 | coordinate 23 497 | plasma 23 498 | those 23 499 | relationship 23 500 | bulk 23 501 | search 23 502 | year 22 503 | yield 22 504 | line 22 505 | le 22 506 | aim 22 507 | active 22 508 | difficult 22 509 | improve 22 510 | impact 22 511 | map 22 512 | response 22 513 | long 22 514 | extension 22 515 | conductivity 22 516 | another 22 517 | mixing 22 518 | convergence 22 519 | necessary 22 520 | powder 22 521 | predicted 22 522 | speed 22 523 | face 22 524 | risk 22 525 | lattice 21 526 | ref 21 527 | improved 21 528 | configuration 21 529 | major 21 530 | knowledge 21 531 | structural 21 532 | pair 21 533 | take 21 534 | electrical 21 535 | efficient 21 536 | achieve 21 537 | introduced 21 538 | relative 21 539 | air 21 540 | latter 21 541 | respect 21 542 | location 21 543 | surfactant 21 544 | directly 21 545 | simulated 21 546 | must 21 547 | continuous 21 548 | conventional 21 549 | channel 21 550 | fuel 21 551 | contrast 21 552 | solar 21 553 | context 20 554 | probability 20 555 | gauge 20 556 | describe 20 557 | correlation 20 558 | fast 20 559 | bound 20 560 | matter 20 561 | scenario 20 562 | instead 20 563 | motion 20 564 | nonlinear 20 565 | underlying 20 566 | site 20 567 | sensitivity 20 568 | exchange 20 569 | electrode 20 570 | angle 20 571 | cause 20 572 | determine 20 573 | maximum 20 574 | decrease 20 575 | independent 20 576 | program 20 577 | graph 20 578 | investigation 20 579 | grid 20 580 | rather 20 581 | medium 20 582 | modeling 20 583 | full 20 584 | event 20 585 | grain 20 586 | 2013 20 587 | sensor 20 588 | moment 20 589 | brane 20 590 | understanding 19 591 | combination 19 592 | cannot 19 593 | vacuum 19 594 | nucleon 19 595 | individual 19 596 | radiation 19 597 | amount 19 598 | hamiltonian 19 599 | sensitive 19 600 | unit 19 601 | equilibrium 19 602 | version 19 603 | target 19 604 | produced 19 605 | appropriate 19 606 | cross 19 607 | support 19 608 | containing 19 609 | solve 19 610 | better 19 611 | leading 19 612 | representation 19 613 | background 19 614 | reduced 19 615 | string 19 616 | management 19 617 | composite 19 618 | implementation 18 619 | far 18 620 | additional 18 621 | degree 18 622 | electronic 18 623 | around 18 624 | furthermore 18 625 | curve 18 626 | vacancy 18 627 | reference 18 628 | purpose 18 629 | charged 18 630 | particularly 18 631 | natural 18 632 | centre 18 633 | combined 18 634 | room 18 635 | stage 18 636 | tem 18 637 | processing 18 638 | below 18 639 | porosity 18 640 | hand 18 641 | typical 18 642 | certain 18 643 | position 18 644 | pore 18 645 | become 18 646 | neutron 18 647 | suitable 18 648 | note 18 649 | objective 18 650 | exist 18 651 | fracture 18 652 | reason 18 653 | question 18 654 | activity 18 655 | shear 18 656 | decision 18 657 | 2012 18 658 | discrete 17 659 | interesting 17 660 | exhibit 17 661 | primary 17 662 | probe 17 663 | requires 17 664 | best 17 665 | fit 17 666 | hole 17 667 | highly 17 668 | idea 17 669 | functional 17 670 | task 17 671 | already 17 672 | threshold 17 673 | becomes 17 674 | typically 17 675 | crystal 17 676 | hence 17 677 | 3d 17 678 | tube 17 679 | noise 17 680 | evaluated 17 681 | service 17 682 | detection 17 683 | able 17 684 | identified 17 685 | testing 17 686 | approximately 17 687 | significantly 17 688 | modelling 17 689 | computing 17 690 | zone 17 691 | complete 17 692 | quality 17 693 | 28 17 694 | tension 17 695 | propose 17 696 | virtual 17 697 | choice 17 698 | sphere 17 699 | database 17 700 | random 17 701 | proton 17 702 | cloud 17 703 | calculate 17 704 | deformation 17 705 | construct 17 706 | hard 17 707 | review 16 708 | attempt 16 709 | organic 16 710 | continuum 16 711 | rule 16 712 | close 16 713 | investigate 16 714 | intensity 16 715 | fragmentation 16 716 | transformation 16 717 | loss 16 718 | letter 16 719 | goal 16 720 | induced 16 721 | action 16 722 | designed 16 723 | separation 16 724 | generally 16 725 | segment 16 726 | before 16 727 | interest 16 728 | achieved 16 729 | end 16 730 | computer 16 731 | across 16 732 | affect 16 733 | author 16 734 | back 16 735 | fraction 16 736 | reduce 16 737 | concentration 16 738 | index 16 739 | hybrid 16 740 | aspect 16 741 | agreement 16 742 | scalar 16 743 | operating 16 744 | bubble 16 745 | strategy 16 746 | formula 16 747 | platform 16 748 | heavy 16 749 | parity 16 750 | su 16 751 | lepton 16 752 | recognition 16 753 | real 15 754 | might 15 755 | statistical 15 756 | equal 15 757 | just 15 758 | relaxation 15 759 | band 15 760 | mixture 15 761 | 26 15 762 | fitting 15 763 | near 15 764 | radical 15 765 | relevant 15 766 | industry 15 767 | block 15 768 | thin 15 769 | followed 15 770 | failure 15 771 | 29 15 772 | agent 15 773 | acid 15 774 | limited 15 775 | fe 15 776 | usually 15 777 | allow 15 778 | practical 15 779 | code 15 780 | suggested 15 781 | amplitude 15 782 | rapid 15 783 | improvement 15 784 | optimisation 15 785 | attractive 15 786 | friction 15 787 | waste 15 788 | formed 15 789 | uo2 15 790 | modulus 15 791 | report 15 792 | seen 15 793 | sps 15 794 | plane 15 795 | copolymer 15 796 | liposome 15 797 | routing 15 798 | importance 14 799 | cooling 14 800 | dynamical 14 801 | pulse 14 802 | fundamental 14 803 | eq 14 804 | macroscopic 14 805 | physic 14 806 | ii 14 807 | bond 14 808 | occur 14 809 | figure 14 810 | applying 14 811 | transmission 14 812 | microscopy 14 813 | subsequent 14 814 | magnitude 14 815 | depends 14 816 | transfer 14 817 | involved 14 818 | voltage 14 819 | environment 14 820 | indeed 14 821 | approximate 14 822 | entropy 14 823 | key 14 824 | excess 14 825 | side 14 826 | soft 14 827 | three-dimensional 14 828 | vessel 14 829 | discus 14 830 | interval 14 831 | measuring 14 832 | estimated 14 833 | subsequently 14 834 | compound 14 835 | extracted 14 836 | lateral 14 837 | microstructure 14 838 | plant 14 839 | overall 14 840 | constituent 14 841 | path 14 842 | represent 14 843 | extremely 14 844 | reducing 14 845 | spatial 14 846 | symmetric 14 847 | strong 14 848 | among 14 849 | per 14 850 | referred 14 851 | conservation 14 852 | finally 14 853 | needed 14 854 | flux 14 855 | angular 14 856 | construction 14 857 | four 14 858 | silicon 14 859 | added 14 860 | trend 14 861 | uranium 14 862 | view 14 863 | preparation 14 864 | sum 14 865 | nanoparticles 14 866 | isogeometric 14 867 | h2 14 868 | world 14 869 | optimization 14 870 | fire 14 871 | thermodynamic 13 872 | led 13 873 | develop 13 874 | correction 13 875 | object 13 876 | course 13 877 | extend 13 878 | investigated 13 879 | help 13 880 | population 13 881 | hydrogen 13 882 | damage 13 883 | nucleus 13 884 | employed 13 885 | controlled 13 886 | occurs 13 887 | specie 13 888 | predict 13 889 | chiral 13 890 | human 13 891 | involves 13 892 | central 13 893 | upon 13 894 | against 13 895 | little 13 896 | regime 13 897 | constructed 13 898 | few 13 899 | min 13 900 | microscope 13 901 | scanning 13 902 | stem 13 903 | kinetics 13 904 | resistance 13 905 | protocol 13 906 | useful 13 907 | 2d 13 908 | 36 13 909 | atomic 13 910 | generate 13 911 | demonstrated 13 912 | mapping 13 913 | integer 13 914 | solved 13 915 | stiffness 13 916 | monte 13 917 | carlo 13 918 | capability 13 919 | possibility 13 920 | implemented 13 921 | reach 13 922 | what 13 923 | compare 13 924 | partial 13 925 | communication 13 926 | stochastic 13 927 | pathway 13 928 | additive 13 929 | ti 13 930 | tensile 13 931 | elastic 13 932 | focus 13 933 | morphology 13 934 | turn 13 935 | includes 13 936 | engineering 13 937 | prepared 13 938 | module 13 939 | reliability 13 940 | estimation 13 941 | get 13 942 | project 13 943 | training 13 944 | extraction 13 945 | fusion 13 946 | qcd 13 947 | price 13 948 | hydrate 13 949 | smooth 12 950 | next 12 951 | 32 12 952 | represents 12 953 | weak 12 954 | whether 12 955 | distinct 12 956 | emission 12 957 | providing 12 958 | edge 12 959 | basic 12 960 | electric 12 961 | dipole 12 962 | difficulty 12 963 | 37 12 964 | article 12 965 | realistic 12 966 | periodic 12 967 | dependent 12 968 | solvent 12 969 | building 12 970 | offer 12 971 | later 12 972 | whilst 12 973 | ci 12 974 | diameter 12 975 | included 12 976 | electrochemical 12 977 | iteration 12 978 | sequence 12 979 | limitation 12 980 | comparing 12 981 | demonstrate 12 982 | pit 12 983 | 34 12 984 | quantity 12 985 | ability 12 986 | generalized 12 987 | diagram 12 988 | inside 12 989 | short 12 990 | resource 12 991 | fixed 12 992 | apply 12 993 | displacement 12 994 | derivative 12 995 | lagrangian 12 996 | introduce 12 997 | 31 12 998 | gel 12 999 | sufficient 12 1000 | bem 12 1001 | setting 12 1002 | run 12 1003 | remote 12 1004 | last 12 1005 | he 12 1006 | mineral 12 1007 | like 12 1008 | calibration 12 1009 | towards 12 1010 | two-dimensional 12 1011 | axial 12 1012 | generated 12 1013 | gap 12 1014 | 2009 12 1015 | wide 12 1016 | computation 12 1017 | onto 12 1018 | static 12 1019 | weighted 12 1020 | social 12 1021 | tracer 12 1022 | ferromagnetic 12 1023 | wear 12 1024 | universe 12 1025 | cosmological 12 1026 | hadron 12 1027 | learning 12 1028 | robot 12 1029 | cullet 12 1030 | insight 11 1031 | sufficiently 11 1032 | effort 11 1033 | moving 11 1034 | vibrational 11 1035 | pure 11 1036 | mainly 11 1037 | contains 11 1038 | x-ray 11 1039 | neutral 11 1040 | upper 11 1041 | concept 11 1042 | capacity 11 1043 | differential 11 1044 | harmonic 11 1045 | drug 11 1046 | supply 11 1047 | synthesis 11 1048 | catalyst 11 1049 | incident 11 1050 | discussion 11 1051 | digital 11 1052 | least 11 1053 | prior 11 1054 | build 11 1055 | ground 11 1056 | diamond 11 1057 | initially 11 1058 | instrument 11 1059 | depth 11 1060 | barrier 11 1061 | percentage 11 1062 | 35 11 1063 | width 11 1064 | outside 11 1065 | pt 11 1066 | early 11 1067 | o2 11 1068 | base 11 1069 | clear 11 1070 | quite 11 1071 | commonly 11 1072 | combine 11 1073 | represented 11 1074 | negative 11 1075 | mie 11 1076 | universal 11 1077 | easily 11 1078 | us 11 1079 | kernel 11 1080 | expression 11 1081 | solver 11 1082 | environmental 11 1083 | exponential 11 1084 | geometric 11 1085 | period 11 1086 | penalty 11 1087 | tracking 11 1088 | ideal 11 1089 | mixed 11 1090 | create 11 1091 | require 11 1092 | unlike 11 1093 | void 11 1094 | highest 11 1095 | mg 11 1096 | ev 11 1097 | namely 11 1098 | market 11 1099 | always 11 1100 | feedback 11 1101 | interpretation 11 1102 | almost 11 1103 | adopted 11 1104 | frame 11 1105 | h2o 11 1106 | transform 11 1107 | company 11 1108 | situation 11 1109 | silica 11 1110 | chamber 11 1111 | ceramic 11 1112 | making 11 1113 | rh 11 1114 | transverse 11 1115 | analyzed 11 1116 | anomalous 11 1117 | higgs 11 1118 | relativistic 11 1119 | rely 10 1120 | promising 10 1121 | explicitly 10 1122 | considering 10 1123 | mechanic 10 1124 | successfully 10 1125 | fluctuation 10 1126 | electromagnetic 10 1127 | consequence 10 1128 | open 10 1129 | excited 10 1130 | transient 10 1131 | spectral 10 1132 | varying 10 1133 | revealed 10 1134 | done 10 1135 | reduces 10 1136 | singlet 10 1137 | strongly 10 1138 | integrated 10 1139 | place 10 1140 | injection 10 1141 | advance 10 1142 | now 10 1143 | clearly 10 1144 | 38 10 1145 | influenced 10 1146 | instance 10 1147 | circular 10 1148 | characterised 10 1149 | synthetic 10 1150 | mentioned 10 1151 | consists 10 1152 | similarity 10 1153 | 100 10 1154 | benefit 10 1155 | start 10 1156 | conducted 10 1157 | horizontal 10 1158 | selected 10 1159 | follows 10 1160 | cycle 10 1161 | salt 10 1162 | law 10 1163 | original 10 1164 | modified 10 1165 | observe 10 1166 | indicate 10 1167 | access 10 1168 | actual 10 1169 | switch 10 1170 | fully 10 1171 | assumed 10 1172 | modelled 10 1173 | involve 10 1174 | nb 10 1175 | discretisation 10 1176 | interpolation 10 1177 | inverse 10 1178 | working 10 1179 | describes 10 1180 | atmospheric 10 1181 | micro 10 1182 | traditional 10 1183 | essentially 10 1184 | established 10 1185 | bias 10 1186 | classification 10 1187 | involving 10 1188 | mathematical 10 1189 | solving 10 1190 | depending 10 1191 | called 10 1192 | connection 10 1193 | every 10 1194 | parallel 10 1195 | adaptive 10 1196 | dispersion 10 1197 | monitor 10 1198 | window 10 1199 | de 10 1200 | loop 10 1201 | whole 10 1202 | smaller 10 1203 | peak 10 1204 | absolute 10 1205 | science 10 1206 | activation 10 1207 | essential 10 1208 | detailed 10 1209 | mobile 10 1210 | library 10 1211 | modification 10 1212 | jerk 10 1213 | 2010 10 1214 | array 10 1215 | deposition 10 1216 | 2008 10 1217 | circuit 10 1218 | orbital 10 1219 | projection 10 1220 | iii 10 1221 | consistent 10 1222 | complexity 10 1223 | though 10 1224 | analyze 10 1225 | deposited 10 1226 | fault 10 1227 | em 10 1228 | student 10 1229 | analytical 9 1230 | effectively 9 1231 | conclusion 9 1232 | imaging 9 1233 | treated 9 1234 | shell 9 1235 | suggests 9 1236 | derive 9 1237 | van 9 1238 | describing 9 1239 | subject 9 1240 | earlier 9 1241 | temporal 9 1242 | whereas 9 1243 | topic 9 1244 | spectroscopy 9 1245 | play 9 1246 | challenge 9 1247 | trajectory 9 1248 | fabrication 9 1249 | until 9 1250 | chosen 9 1251 | spacing 9 1252 | balance 9 1253 | host 9 1254 | creating 9 1255 | language 9 1256 | mn 9 1257 | heating 9 1258 | exposure 9 1259 | examined 9 1260 | concrete 9 1261 | had 9 1262 | assessment 9 1263 | specifically 9 1264 | recorded 9 1265 | assumption 9 1266 | six 9 1267 | determination 9 1268 | roughness 9 1269 | anionic 9 1270 | demand 9 1271 | deviation 9 1272 | explained 9 1273 | residual 9 1274 | anodizing 9 1275 | composed 9 1276 | porous 9 1277 | migration 9 1278 | safety 9 1279 | shift 9 1280 | finding 9 1281 | together 9 1282 | spherical 9 1283 | unique 9 1284 | improving 9 1285 | fermi 9 1286 | oscillation 9 1287 | accurately 9 1288 | ensure 9 1289 | taking 9 1290 | internal 9 1291 | uptake 9 1292 | evaluate 9 1293 | varied 9 1294 | challenging 9 1295 | greater 9 1296 | capture 9 1297 | implement 9 1298 | methodology 9 1299 | introduction 9 1300 | deep 9 1301 | left 9 1302 | allowing 9 1303 | likely 9 1304 | experimentally 9 1305 | too 9 1306 | drop 9 1307 | radius 9 1308 | plastic 9 1309 | trapped 9 1310 | rapidly 9 1311 | degradation 9 1312 | al2o3 9 1313 | act 9 1314 | dc 9 1315 | pb 9 1316 | agglomerate 9 1317 | deposit 9 1318 | manufacturing 9 1319 | variety 9 1320 | complicated 9 1321 | hardness 9 1322 | quantitative 9 1323 | sense 9 1324 | aqueous 9 1325 | carrier 9 1326 | enhanced 9 1327 | nurbs 9 1328 | compact 9 1329 | outcome 9 1330 | cad 9 1331 | perform 9 1332 | 2007 9 1333 | hidden 9 1334 | robust 9 1335 | iron 9 1336 | artifact 9 1337 | etch 9 1338 | pa 9 1339 | rolling 9 1340 | lag 9 1341 | easy 9 1342 | antigen 9 1343 | dielectric 9 1344 | evidence 9 1345 | metric 9 1346 | gluon 9 1347 | invariant 9 1348 | collider 9 1349 | gev 9 1350 | black 9 1351 | spacetime 9 1352 | score 9 1353 | output 9 1354 | word 9 1355 | fitness 9 1356 | soil 9 1357 | alignment 9 1358 | correct 8 1359 | numerous 8 1360 | excitation 8 1361 | obstacle 8 1362 | novel 8 1363 | consequently 8 1364 | so-called 8 1365 | collection 8 1366 | rise 8 1367 | co 8 1368 | studying 8 1369 | graphene 8 1370 | self-assembly 8 1371 | determining 8 1372 | numerically 8 1373 | picture 8 1374 | lowest 8 1375 | concluded 8 1376 | starting 8 1377 | neglected 8 1378 | semiconductor 8 1379 | enough 8 1380 | mobility 8 1381 | route 8 1382 | conformation 8 1383 | 33 8 1384 | caused 8 1385 | irradiation 8 1386 | reliable 8 1387 | hot 8 1388 | laboratory 8 1389 | detector 8 1390 | 600 8 1391 | simplified 8 1392 | adjusted 8 1393 | removed 8 1394 | optimized 8 1395 | sem 8 1396 | understand 8 1397 | respective 8 1398 | correlated 8 1399 | metallic 8 1400 | cation 8 1401 | ph 8 1402 | indicates 8 1403 | tip 8 1404 | whose 8 1405 | economic 8 1406 | copper 8 1407 | smallest 8 1408 | arbitrary 8 1409 | xrd 8 1410 | solidification 8 1411 | exactly 8 1412 | vapour 8 1413 | unknown 8 1414 | nodal 8 1415 | refer 8 1416 | binary 8 1417 | explicit 8 1418 | overview 8 1419 | time-step 8 1420 | advection 8 1421 | constrained 8 1422 | uniform 8 1423 | height 8 1424 | galerkin 8 1425 | fractional 8 1426 | radiative 8 1427 | address 8 1428 | despite 8 1429 | 41 8 1430 | dg 8 1431 | expressed 8 1432 | recalculation 8 1433 | interact 8 1434 | slightly 8 1435 | put 8 1436 | ga 8 1437 | characterisation 8 1438 | titanium 8 1439 | onset 8 1440 | forming 8 1441 | dominant 8 1442 | zirconium 8 1443 | systematic 8 1444 | melting 8 1445 | elasticity 8 1446 | microstructural 8 1447 | cyclic 8 1448 | why 8 1449 | piece 8 1450 | option 8 1451 | candidate 8 1452 | itself 8 1453 | connected 8 1454 | chinese 8 1455 | viscoelastic 8 1456 | pdms 8 1457 | star 8 1458 | monomer 8 1459 | machine 8 1460 | functionality 8 1461 | hydrogel 8 1462 | shading 8 1463 | variability 8 1464 | duration 8 1465 | ad 8 1466 | si 8 1467 | 2002 8 1468 | illustrated 8 1469 | maintenance 8 1470 | attention 8 1471 | go 8 1472 | who 8 1473 | engine 8 1474 | prism 8 1475 | 2006 8 1476 | occurrence 8 1477 | datasets 8 1478 | art 8 1479 | technical 8 1480 | real-time 8 1481 | successful 8 1482 | monitoring 8 1483 | inelastic 8 1484 | soot 8 1485 | topology 8 1486 | cosmology 8 1487 | suppression 8 1488 | color 8 1489 | fermion 8 1490 | singularity 8 1491 | vertex 8 1492 | regression 8 1493 | multivariate 8 1494 | controller 8 1495 | hpc 8 1496 | financial 8 1497 | galloping 8 1498 | call 7 1499 | valid 7 1500 | combining 7 1501 | yet 7 1502 | incorporating 7 1503 | logical 7 1504 | inference 7 1505 | seems 7 1506 | der 7 1507 | waals 7 1508 | partition 7 1509 | confined 7 1510 | resolved 7 1511 | echo 7 1512 | freedom 7 1513 | remains 7 1514 | precursor 7 1515 | nanotube 7 1516 | closed 7 1517 | characterized 7 1518 | validity 7 1519 | enable 7 1520 | 40 7 1521 | well-known 7 1522 | similarly 7 1523 | mostly 7 1524 | dependence 7 1525 | requirement 7 1526 | protection 7 1527 | benchmark 7 1528 | ass 7 1529 | fine 7 1530 | situ 7 1531 | polished 7 1532 | atmosphere 7 1533 | heated 7 1534 | focused 7 1535 | alumina 7 1536 | continued 7 1537 | negligible 7 1538 | separated 7 1539 | gain 7 1540 | define 7 1541 | movement 7 1542 | newman 7 1543 | cover 7 1544 | ambient 7 1545 | kind 7 1546 | cracking 7 1547 | life 7 1548 | display 7 1549 | droplet 7 1550 | localized 7 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7 1665 | duct 7 1666 | quadratic 7 1667 | walk 7 1668 | failed 7 1669 | pollen 7 1670 | investment 7 1671 | scientific 7 1672 | vivo 7 1673 | nevertheless 7 1674 | bearing 7 1675 | t-cells 7 1676 | diesel 7 1677 | sector 7 1678 | collaboration 7 1679 | care 7 1680 | mev 7 1681 | topological 7 1682 | detected 7 1683 | isospin 7 1684 | light-cone 7 1685 | longitudinal 7 1686 | asymmetry 7 1687 | jetting 7 1688 | semiclathrate 7 1689 | probabilistic 7 1690 | genetic 7 1691 | sng 7 1692 | survey 7 1693 | permeability 7 1694 | wetland 7 1695 | clip 7 1696 | hemelb 7 1697 | web 7 1698 | sampling 6 1699 | decade 6 1700 | readily 6 1701 | formal 6 1702 | formulated 6 1703 | entirely 6 1704 | plausible 6 1705 | beyond 6 1706 | powerful 6 1707 | remarkable 6 1708 | bag 6 1709 | inclusion 6 1710 | longer 6 1711 | oep 6 1712 | ni 6 1713 | separate 6 1714 | extract 6 1715 | occurring 6 1716 | debate 6 1717 | reconstruction 6 1718 | visualization 6 1719 | fullerene 6 1720 | instantaneous 6 1721 | surrounding 6 1722 | nitrogen 6 1723 | anisotropic 6 1724 | verify 6 1725 | noted 6 1726 | injected 6 1727 | geometrical 6 1728 | attached 6 1729 | reveal 6 1730 | consist 6 1731 | category 6 1732 | octyl 6 1733 | cc 6 1734 | dsbs 6 1735 | attributed 6 1736 | ro 6 1737 | break 6 1738 | aa 6 1739 | ultrasound 6 1740 | double 6 1741 | day 6 1742 | aggregation 6 1743 | transferred 6 1744 | secondary 6 1745 | off 6 1746 | milling 6 1747 | perpendicular 6 1748 | collected 6 1749 | cathodic 6 1750 | specimen 6 1751 | having 6 1752 | identical 6 1753 | 1000 6 1754 | recording 6 1755 | sa 6 1756 | track 6 1757 | remove 6 1758 | hold 6 1759 | frequently 6 1760 | poor 6 1761 | overcome 6 1762 | growing 6 1763 | disk 6 1764 | stainless 6 1765 | volta 6 1766 | immersed 6 1767 | aluminium 6 1768 | inner 6 1769 | ionic 6 1770 | toward 6 1771 | concern 6 1772 | thereby 6 1773 | principal 6 1774 | affected 6 1775 | exposed 6 1776 | initiation 6 1777 | follow 6 1778 | others 6 1779 | assembly 6 1780 | simply 6 1781 | cg 6 1782 | alternative 6 1783 | exponent 6 1784 | nearest 6 1785 | lagrange 6 1786 | corresponds 6 1787 | exists 6 1788 | reasonable 6 1789 | family 6 1790 | originally 6 1791 | manner 6 1792 | implicit 6 1793 | vertical 6 1794 | macro 6 1795 | gaseous 6 1796 | extrapolation 6 1797 | considerable 6 1798 | bottom 6 1799 | effectiveness 6 1800 | refinement 6 1801 | lie 6 1802 | interacting 6 1803 | relies 6 1804 | empirical 6 1805 | obtaining 6 1806 | dimensional 6 1807 | variational 6 1808 | absence 6 1809 | melt 6 1810 | throughout 6 1811 | utilised 6 1812 | fr 6 1813 | community 6 1814 | located 6 1815 | theorem 6 1816 | architecture 6 1817 | update 6 1818 | obvious 6 1819 | vary 6 1820 | created 6 1821 | dpd 6 1822 | cascade 6 1823 | divertor 6 1824 | plate 6 1825 | analysed 6 1826 | od 6 1827 | variant 6 1828 | swelling 6 1829 | dioxide 6 1830 | indicated 6 1831 | compressive 6 1832 | cladding 6 1833 | kinetic 6 1834 | serve 6 1835 | sink 6 1836 | relate 6 1837 | continuously 6 1838 | introducing 6 1839 | 80 6 1840 | capsule 6 1841 | wire 6 1842 | dft 6 1843 | plenum 6 1844 | conduction 6 1845 | definition 6 1846 | volcano 6 1847 | 2005 6 1848 | modern 6 1849 | precise 6 1850 | realized 6 1851 | characterization 6 1852 | know 6 1853 | deal 6 1854 | feasible 6 1855 | adapted 6 1856 | initiator 6 1857 | afm 6 1858 | polyester 6 1859 | delivery 6 1860 | membrane 6 1861 | removal 6 1862 | dissociation 6 1863 | 400 6 1864 | markov 6 1865 | season 6 1866 | look 6 1867 | mortar 6 1868 | discretized 6 1869 | representative 6 1870 | firstly 6 1871 | herein 6 1872 | advanced 6 1873 | exact 6 1874 | special 6 1875 | bone 6 1876 | rectangular 6 1877 | curvature 6 1878 | penalized 6 1879 | merging 6 1880 | implication 6 1881 | worth 6 1882 | list 6 1883 | binding 6 1884 | in-situ 6 1885 | performing 6 1886 | elevation 6 1887 | orientation 6 1888 | job 6 1889 | written 6 1890 | latency 6 1891 | speaker 6 1892 | handle 6 1893 | erp 6 1894 | informal 6 1895 | gate 6 1896 | ten 6 1897 | paramagnetic 6 1898 | pc 6 1899 | mask 6 1900 | incubated 6 1901 | utilized 6 1902 | carry 6 1903 | zero 6 1904 | camera 6 1905 | existence 6 1906 | built 6 1907 | multiplicity 6 1908 | centrality 6 1909 | charm 6 1910 | pion 6 1911 | baryon 6 1912 | supersymmetric 6 1913 | explore 6 1914 | qq 6 1915 | package 6 1916 | non-singular 6 1917 | plan 6 1918 | deformed 6 1919 | analyzing 6 1920 | p1 6 1921 | p2 6 1922 | branch 6 1923 | selection 6 1924 | query 6 1925 | penrose 6 1926 | phone 6 1927 | educational 6 1928 | emd 6 1929 | researcher 6 1930 | sw-svr 6 1931 | optimum 6 1932 | aamm 6 1933 | emr 6 1934 | health 6 1935 | agricultural 6 1936 | sport 6 1937 | curriculum 6 1938 | lettered 6 1939 | elderly 6 1940 | security 6 1941 | eye 6 1942 | systemic 6 1943 | bitumen 6 1944 | asphaltic 6 1945 | langevin 5 1946 | sign 5 1947 | played 5 1948 | localised 5 1949 | sl 5 1950 | developing 5 1951 | ongoing 5 1952 | dirac 5 1953 | proper 5 1954 | pdes 5 1955 | away 5 1956 | simplicity 5 1957 | fermionic 5 1958 | appearance 5 1959 | saturation 5 1960 | cumulative 5 1961 | scan 5 1962 | delay 5 1963 | center 5 1964 | link 5 1965 | explain 5 1966 | programming 5 1967 | reverse 5 1968 | reasoning 5 1969 | isotropic 5 1970 | adiabatic 5 1971 | pe 5 1972 | electrically 5 1973 | inorganic 5 1974 | cross-sections 5 1975 | identification 5 1976 | notion 5 1977 | resonance 5 1978 | biological 5 1979 | contain 5 1980 | receptor 5 1981 | incorporate 5 1982 | rotated 5 1983 | isolated 5 1984 | dense 5 1985 | reflecting 5 1986 | protective 5 1987 | reflect 5 1988 | exhibiting 5 1989 | tunnelling 5 1990 | junction 5 1991 | file 5 1992 | converted 5 1993 | usa 5 1994 | ltd 5 1995 | fib 5 1996 | furnace 5 1997 | batch 5 1998 | enables 5 1999 | scratch 5 2000 | outer 5 2001 | coupon 5 2002 | decreasing 5 2003 | suspension 5 2004 | automatic 5 2005 | 2-propanol 5 2006 | dispersed 5 2007 | 60 5 2008 | 1d 5 2009 | did 5 2010 | quantify 5 2011 | dry 5 2012 | resultant 5 2013 | maintained 5 2014 | proved 5 2015 | hydrozincite 5 2016 | summary 5 2017 | intermetallic 5 2018 | analysing 5 2019 | cold 5 2020 | mkcc 5 2021 | slope 5 2022 | thermally 5 2023 | 39 5 2024 | linked 5 2025 | normally 5 2026 | partially 5 2027 | proportion 5 2028 | molten 5 2029 | n-alkanes 5 2030 | flexible 5 2031 | fem 5 2032 | keep 5 2033 | proof 5 2034 | down 5 2035 | approximated 5 2036 | designing 5 2037 | ibm 5 2038 | discontinuous 5 2039 | remark 5 2040 | captured 5 2041 | treat 5 2042 | assumes 5 2043 | multiscale 5 2044 | microfluidic 5 2045 | right 5 2046 | discretization 5 2047 | refractive 5 2048 | modeled 5 2049 | reflection 5 2050 | therein 5 2051 | capillary 5 2052 | demonstrates 5 2053 | never 5 2054 | briefly 5 2055 | acceleration 5 2056 | upwind 5 2057 | integral 5 2058 | extensively 5 2059 | time-dependent 5 2060 | express 5 2061 | convenient 5 2062 | oil 5 2063 | entrainment 5 2064 | breaking 5 2065 | closely 5 2066 | climate 5 2067 | invariance 5 2068 | consisting 5 2069 | return 5 2070 | commercial 5 2071 | puo2 5 2072 | coarsening 5 2073 | equivalent 5 2074 | interfacial 5 2075 | except 5 2076 | tetragonal 5 2077 | promote 5 2078 | split 5 2079 | sio2 5 2080 | cut 5 2081 | reproduced 5 2082 | largely 5 2083 | disadvantage 5 2084 | remain 5 2085 | diffraction 5 2086 | generating 5 2087 | hydride 5 2088 | integrity 5 2089 | repeated 5 2090 | 42 5 2091 | mould 5 2092 | holding 5 2093 | chloride 5 2094 | additionally 5 2095 | lifetime 5 2096 | sn 5 2097 | subjected 5 2098 | contained 5 2099 | constitute 5 2100 | distributed 5 2101 | trap 5 2102 | facilitated 5 2103 | xe 5 2104 | distortion 5 2105 | excessive 5 2106 | incorporation 5 2107 | becoming 5 2108 | guarantee 5 2109 | transformed 5 2110 | ring 5 2111 | mx 5 2112 | me 5 2113 | microscopic 5 2114 | sometimes 5 2115 | rough 5 2116 | axis 5 2117 | regular 5 2118 | ever 5 2119 | poly 5 2120 | driving 5 2121 | permit 5 2122 | producing 5 2123 | 90 5 2124 | explored 5 2125 | swnts 5 2126 | cvd 5 2127 | moderate 5 2128 | epoxy 5 2129 | apparent 5 2130 | passing 5 2131 | successive 5 2132 | m2 5 2133 | carrying 5 2134 | setup 5 2135 | neural 5 2136 | adsorbed 5 2137 | projected 5 2138 | success 5 2139 | excellent 5 2140 | algebra 5 2141 | remaining 5 2142 | practice 5 2143 | cfl 5 2144 | completely 5 2145 | equivalence 5 2146 | bar 5 2147 | fall 5 2148 | tn 5 2149 | impossible 5 2150 | adsorbent 5 2151 | adsorbate 5 2152 | great 5 2153 | status 5 2154 | column 5 2155 | land 5 2156 | 1998 5 2157 | fossil 5 2158 | pig 5 2159 | mapreduce 5 2160 | workflow 5 2161 | mola 5 2162 | certainly 5 2163 | people 5 2164 | exploit 5 2165 | eventually 5 2166 | widespread 5 2167 | nanoparticle 5 2168 | cellular 5 2169 | adopt 5 2170 | resist 5 2171 | collapse 5 2172 | im-hm11-01 5 2173 | im-hm11-02 5 2174 | a-sio2 5 2175 | assignment 5 2176 | wafer 5 2177 | mo 5 2178 | supplementary 5 2179 | mouse 5 2180 | plus 5 2181 | favorable 5 2182 | pyrene 5 2183 | explanation 5 2184 | totally 5 2185 | accompanied 5 2186 | vortex 5 2187 | document 5 2188 | cardiovascular 5 2189 | time-varying 5 2190 | supernova 5 2191 | walker 5 2192 | soliton 5 2193 | charmonium 5 2194 | sm 5 2195 | flavor-spin 5 2196 | kev 5 2197 | illustrate 5 2198 | necessarily 5 2199 | believe 5 2200 | argument 5 2201 | hierarchical 5 2202 | yukawa 5 2203 | d-flat 5 2204 | violation 5 2205 | supersymmetry 5 2206 | 2sc 5 2207 | detecting 5 2208 | propagator 5 2209 | factorization 5 2210 | instability 5 2211 | minkowski 5 2212 | chaos 5 2213 | normalization 5 2214 | salpeter 5 2215 | beginning 5 2216 | tack 5 2217 | gp 5 2218 | unsuitable 5 2219 | horváth 5 2220 | clathrate 5 2221 | game 5 2222 | reflectivity 5 2223 | stack 5 2224 | xt 5 2225 | gfrfs 5 2226 | d-sdc 5 2227 | pca 5 2228 | variance 5 2229 | orthogonal 5 2230 | click 5 2231 | n2o 5 2232 | river 5 2233 | urban 5 2234 | mwsn 5 2235 | fabhemelb 5 2236 | intelligent 5 2237 | teaching 5 2238 | china 5 2239 | culture 5 2240 | low-carbon 5 2241 | contractor 5 2242 | journal 5 2243 | fuzzy 5 2244 | past 4 2245 | ignored 4 2246 | space-time 4 2247 | robustness 4 2248 | replace 4 2249 | massless 4 2250 | spin-1 4 2251 | scope 4 2252 | perhaps 4 2253 | maxwell 4 2254 | undergo 4 2255 | modifies 4 2256 | aperture 4 2257 | n2 4 2258 | alcohol 4 2259 | femtosecond 4 2260 | timescales 4 2261 | pump 4 2262 | zn 4 2263 | timescale 4 2264 | bonding 4 2265 | adequate 4 2266 | induces 4 2267 | ionization 4 2268 | matlab 4 2269 | fragment 4 2270 | parent 4 2271 | controlling 4 2272 | progress 4 2273 | ac-tem 4 2274 | capable 4 2275 | crucial 4 2276 | interacts 4 2277 | intuitive 4 2278 | s1 4 2279 | s2 4 2280 | αs 4 2281 | non-adiabatic 4 2282 | pumping 4 2283 | contacting 4 2284 | capacitance 4 2285 | dividing 4 2286 | orbit 4 2287 | antenna 4 2288 | illustrates 4 2289 | biology 4 2290 | drawback 4 2291 | aiming 4 2292 | rotation 4 2293 | visible 4 2294 | 70 4 2295 | md 4 2296 | interestingly 4 2297 | γ-ray 4 2298 | conclude 4 2299 | superconductivity 4 2300 | subtraction 4 2301 | unstructured 4 2302 | volumetric 4 2303 | resin 4 2304 | hour 4 2305 | 1μm 4 2306 | coil 4 2307 | concerning 4 2308 | reinforced 4 2309 | monitored 4 2310 | placed 4 2311 | date 4 2312 | spaced 4 2313 | aid 4 2314 | grade 4 2315 | cleaning 4 2316 | acceptable 4 2317 | quaternary 4 2318 | bromide 4 2319 | changing 4 2320 | anodic 4 2321 | computed 4 2322 | reactivity 4 2323 | shorter 4 2324 | thinning 4 2325 | extent 4 2326 | cr 4 2327 | suppressed 4 2328 | coverage 4 2329 | tolerance 4 2330 | equally 4 2331 | limiting 4 2332 | cpa 4 2333 | pill 4 2334 | pas 4 2335 | mr 4 2336 | tungsten 4 2337 | euler 4 2338 | restricted 4 2339 | overlay 4 2340 | configurational 4 2341 | depend 4 2342 | segregation 4 2343 | inflection 4 2344 | appearing 4 2345 | reflected 4 2346 | saft-γ 4 2347 | alkane 4 2348 | bead 4 2349 | division 4 2350 | heart 4 2351 | pde 4 2352 | defining 4 2353 | comparable 4 2354 | compute 4 2355 | prevent 4 2356 | toody 4 2357 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| crystalline 4 2416 | boron 4 2417 | systematically 4 2418 | decided 4 2419 | prepare 4 2420 | analogue 4 2421 | helium 4 2422 | conjugate 4 2423 | iterative 4 2424 | ferritic 4 2425 | sliding 4 2426 | consolidation 4 2427 | stand 4 2428 | ultimately 4 2429 | 2000 4 2430 | processed 4 2431 | fission 4 2432 | zr 4 2433 | versatile 4 2434 | tomography 4 2435 | molybdenum 4 2436 | facilitate 4 2437 | availability 4 2438 | 92 4 2439 | teller 4 2440 | coolant 4 2441 | reactive 4 2442 | sacrificial 4 2443 | majority 4 2444 | cooperation 4 2445 | optimised 4 2446 | sun 4 2447 | pipe 4 2448 | na 4 2449 | kept 4 2450 | expectation 4 2451 | 2004 4 2452 | efficiently 4 2453 | release 4 2454 | compression 4 2455 | 3σ 4 2456 | complementary 4 2457 | plot 4 2458 | flat 4 2459 | considerably 4 2460 | graft 4 2461 | pointed 4 2462 | nucleation 4 2463 | attraction 4 2464 | 53 4 2465 | polystyrene 4 2466 | ideally 4 2467 | suited 4 2468 | non-destructive 4 2469 | polycondensation 4 2470 | synthesized 4 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2527 | ecosystem 4 2528 | marine 4 2529 | nomad 4 2530 | receiving 4 2531 | investigating 4 2532 | examine 4 2533 | resulted 4 2534 | evaluating 4 2535 | hrsc 4 2536 | simulator 4 2537 | replaced 4 2538 | aeroengine 4 2539 | calculating 4 2540 | digraph 4 2541 | covering 4 2542 | specification 4 2543 | organisational 4 2544 | template 4 2545 | exploring 4 2546 | fe3 4 2547 | impedance 4 2548 | published 4 2549 | allowed 4 2550 | collector 4 2551 | nanocomposite 4 2552 | remanence 4 2553 | multilayer 4 2554 | equipment 4 2555 | etching 4 2556 | trapping 4 2557 | grown 4 2558 | stamp 4 2559 | rendering 4 2560 | lm 4 2561 | casting 4 2562 | innovation 4 2563 | homogeneous 4 2564 | st 4 2565 | collect 4 2566 | adjuvant 4 2567 | stimulation 4 2568 | supporting 4 2569 | likelihood 4 2570 | immune 4 2571 | cpg 4 2572 | peptide 4 2573 | inertial 4 2574 | ylides 4 2575 | ylidepyrene 4 2576 | attracted 4 2577 | applicability 4 2578 | lot 4 2579 | graded 4 2580 | crashworthiness 4 2581 | fibre 4 2582 | century 4 2583 | pile 4 2584 | parametric 4 2585 | oh 4 2586 | lr 4 2587 | perturbative 4 2588 | insulator 4 2589 | nta 4 2590 | soot-in-oil 4 2591 | ball 4 2592 | calibrated 4 2593 | alekseenko 4 2594 | huge 4 2595 | identify 4 2596 | amongst 4 2597 | optic 4 2598 | cylindrical 4 2599 | astigmatism 4 2600 | recourse 4 2601 | cancellation 4 2602 | prove 4 2603 | considers 4 2604 | discovery 4 2605 | expert 4 2606 | oscillatory 4 2607 | insufficient 4 2608 | wavelet 4 2609 | einstein 4 2610 | ppn 4 2611 | autonomous 4 2612 | argued 4 2613 | redshift 4 2614 | ia 4 2615 | ρλ 4 2616 | conformal-invariant 4 2617 | einstein's 4 2618 | annihilation 4 2619 | leading-twist 4 2620 | γγ 4 2621 | dealing 4 2622 | unitarity 4 2623 | tree 4 2624 | boson 4 2625 | looking 4 2626 | clustering 4 2627 | 1015 4 2628 | latest 4 2629 | 2σ 4 2630 | flavor 4 2631 | 40ar 4 2632 | integrable 4 2633 | hadronic 4 2634 | correspond 4 2635 | parton 4 2636 | pomeron 4 2637 | ladder 4 2638 | partons 4 2639 | drift 4 2640 | monopole 4 2641 | gravitational 4 2642 | tower 4 2643 | charm-quark 4 2644 | conjecture 4 2645 | deuteron 4 2646 | keeping 4 2647 | properly 4 2648 | chaotic 4 2649 | quasi-partonic 4 2650 | sym 4 2651 | θc 4 2652 | 3099 4 2653 | secondly 4 2654 | reissner 4 2655 | nordström 4 2656 | discovered 4 2657 | susy 4 2658 | δeus 4 2659 | spacetimes 4 2660 | vital 4 2661 | jetset 4 2662 | ferromagnetism 4 2663 | maser 4 2664 | km 4 2665 | actually 4 2666 | gt 4 2667 | vehicle 4 2668 | mining 4 2669 | mmpps 4 2670 | composing 4 2671 | saft 4 2672 | playing 4 2673 | online 4 2674 | purchase 4 2675 | dbr 4 2676 | meaning 4 2677 | transforms 4 2678 | english 4 2679 | acquisition 4 2680 | logic 4 2681 | problog 4 2682 | wu 4 2683 | sharing 4 2684 | rubber 4 2685 | sh 4 2686 | suction 4 2687 | convective 4 2688 | tpa 4 2689 | photocatalytic 4 2690 | co-catalysts 4 2691 | keyboard 4 2692 | experimentation 4 2693 | evolutionary 4 2694 | volunteer 4 2695 | swes 4 2696 | slum 4 2697 | mwsns 4 2698 | overhead 4 2699 | ac 4 2700 | eg 4 2701 | xylanases 4 2702 | movie 4 2703 | affective 4 2704 | corpus 4 2705 | exhaust 4 2706 | lightning 4 2707 | megalopolis 4 2708 | text 4 2709 | lbp 4 2710 | symbian 4 2711 | clue 4 2712 | kemm 4 2713 | aligning 4 2714 | predictive 4 2715 | thresholding 4 2716 | gray 4 2717 | otsu 4 2718 | svm 4 2719 | poly-blocks 4 2720 | co-deposits 4 2721 | iter 4 2722 | cl 3 2723 | boltzmann 3 2724 | four-dimensional 3 2725 | severe 3 2726 | sampled 3 2727 | clarified 3 2728 | devoted 3 2729 | thermalization 3 2730 | predominantly 3 2731 | semi-classical 3 2732 | intense 3 2733 | pauli 3 2734 | in-depth 3 2735 | casimir 3 2736 | analogy 3 2737 | 1560nm 3 2738 | picosecond 3 2739 | distorted 3 2740 | accounted 3 2741 | c5h6 3 2742 | circumstance 3 2743 | sheet 3 2744 | exploited 3 2745 | nanometre 3 2746 | flake 3 2747 | top-down 3 2748 | e-beam 3 2749 | explaining 3 2750 | magnetometer 3 2751 | behind 3 2752 | hyperfine 3 2753 | simplifies 3 2754 | running 3 2755 | rotational 3 2756 | probable 3 2757 | fluorescence 3 2758 | resonant 3 2759 | desired 3 2760 | ots 3 2761 | tt 3 2762 | roaming 3 2763 | origin 3 2764 | spontaneous 3 2765 | summarized 3 2766 | shifted 3 2767 | 800 3 2768 | neighbouring 3 2769 | enantiopure 3 2770 | time-consuming 3 2771 | cast 3 2772 | enantiomer 3 2773 | utilise 3 2774 | chemically 3 2775 | irrespective 3 2776 | promise 3 2777 | terthiophene 3 2778 | packing 3 2779 | 3a 3 2780 | strand 3 2781 | bath 3 2782 | superconducting 3 2783 | raw 3 2784 | printed 3 2785 | acrylic 3 2786 | removing 3 2787 | disc 3 2788 | finish 3 2789 | 900 3 2790 | ed 3 2791 | dual 3 2792 | trial 3 2793 | long-term 3 2794 | iccp 3 2795 | interruption 3 2796 | tga 3 2797 | examination 3 2798 | remainder 3 2799 | converter 3 2800 | 1023hz 3 2801 | interference 3 2802 | equipped 3 2803 | penetration 3 2804 | cleaned 3 2805 | buehler 3 2806 | polishing 3 2807 | automated 3 2808 | 15min 3 2809 | 99 3 2810 | 5min 3 2811 | ultrasonic 3 2812 | stored 3 2813 | emulsion 3 2814 | ammonium 3 2815 | 61 3 2816 | polyethylene 3 2817 | ti-based 3 2818 | careful 3 2819 | modify 3 2820 | 111 3 2821 | propagating 3 2822 | recognised 3 2823 | characterising 3 2824 | kelvin 3 2825 | thick 3 2826 | proportionality 3 2827 | constituting 3 2828 | electrolyte 3 2829 | pressurised 3 2830 | rod 3 2831 | cu40zn 3 2832 | 9a 3 2833 | aerospace 3 2834 | alloying 3 2835 | favourable 3 2836 | susceptible 3 2837 | detrimental 3 2838 | preferential 3 2839 | inspection 3 2840 | assessed 3 2841 | faster 3 2842 | pronounced 3 2843 | mssl 3 2844 | rrr 3 2845 | b0 3 2846 | validated 3 2847 | visualized 3 2848 | transparent 3 2849 | hull 3 2850 | overlapping 3 2851 | disconnected 3 2852 | colour 3 2853 | enthalpy 3 2854 | member 3 2855 | coming 3 2856 | dependency 3 2857 | probably 3 2858 | took 3 2859 | abundant 3 2860 | tangent 3 2861 | degeneracy 3 2862 | eos 3 2863 | alkyl 3 2864 | postulate 3 2865 | ease 3 2866 | computationally 3 2867 | tangential 3 2868 | fourier 3 2869 | parametrisation 3 2870 | multiplier 3 2871 | lnλ 3 2872 | degenerate 3 2873 | maximum-norm 3 2874 | largest 3 2875 | greatly 3 2876 | checking 3 2877 | criterion 3 2878 | cartesian 3 2879 | ghost 3 2880 | hydrodynamics 3 2881 | governing 3 2882 | ar 3 2883 | nearly 3 2884 | divided 3 2885 | bin 3 2886 | avoids 3 2887 | arising 3 2888 | yi 3 2889 | two-compartment 3 2890 | schmidt 3 2891 | attempted 3 2892 | first-order 3 2893 | irreversible 3 2894 | simplify 3 2895 | cfd 3 2896 | non-trivial 3 2897 | inaccurate 3 2898 | dsmc 3 2899 | cross-section 3 2900 | creates 3 2901 | forced 3 2902 | possibly 3 2903 | quickly 3 2904 | analytic 3 2905 | refined 3 2906 | expense 3 2907 | sub-domains 3 2908 | neglecting 3 2909 | 46 3 2910 | steady 3 2911 | 44 3 2912 | 47 3 2913 | purely 3 2914 | say 3 2915 | grows 3 2916 | achieves 3 2917 | cortical 3 2918 | uniaxial 3 2919 | dissipation 3 2920 | 58 3 2921 | governed 3 2922 | accounting 3 2923 | constitutive 3 2924 | consuming 3 2925 | proceeds 3 2926 | formulate 3 2927 | maintain 3 2928 | electrostatic 3 2929 | adjoint 3 2930 | multipole 3 2931 | differencing 3 2932 | equidistant 3 2933 | quadrature 3 2934 | collocation 3 2935 | attained 3 2936 | hamilton 3 2937 | preserve 3 2938 | relevance 3 2939 | sec 3 2940 | redistribution 3 2941 | sudden 3 2942 | alternatively 3 2943 | thermostat 3 2944 | recombination 3 2945 | pu 3 2946 | post 3 2947 | interstitials 3 2948 | erosion 3 2949 | tiny 3 2950 | prompt 3 2951 | returned 3 2952 | pcm 3 2953 | pvc 3 2954 | pyrochlore 3 2955 | happens 3 2956 | dislocation 3 2957 | plutonium 3 2958 | tends 3 2959 | 01 3 2960 | precipitate 3 2961 | zirconia 3 2962 | greatest 3 2963 | boiling 3 2964 | emerged 3 2965 | giving 3 2966 | intended 3 2967 | albite 3 2968 | hip 3 2969 | box 3 2970 | 30a0 3 2971 | a0 3 2972 | bcc 3 2973 | minimised 3 2974 | yielding 3 2975 | inhibit 3 2976 | correctly 3 2977 | morl 3 2978 | unless 3 2979 | contribute 3 2980 | pellet 3 2981 | metal-oxide 3 2982 | synchrotron 3 2983 | separately 3 2984 | toughness 3 2985 | accident 3 2986 | loaded 3 2987 | conductive 3 2988 | intrinsic 3 2989 | reviewed 3 2990 | hexagonal 3 2991 | basal 3 2992 | 300 3 2993 | 114 3 2994 | argon 3 2995 | platinum 3 2996 | 95 3 2997 | purity 3 2998 | ag 3 2999 | fluence 3 3000 | leg 3 3001 | carbide 3 3002 | bed 3 3003 | opposed 3 3004 | actinide 3 3005 | seed 3 3006 | alone 3 3007 | uk 3 3008 | carbonaceous 3 3009 | ch4 3 3010 | deterministic 3 3011 | adopting 3 3012 | economy 3 3013 | asymptotic 3 3014 | implied 3 3015 | austenitic 3 3016 | 83 3 3017 | shock 3 3018 | holder 3 3019 | dissipated 3 3020 | sv 3 3021 | portable 3 3022 | synthesize 3 3023 | liu 3 3024 | chain-ends 3 3025 | cuaac 3 3026 | elastomer 3 3027 | unattached 3 3028 | characterize 3 3029 | 68 3 3030 | simpler 3 3031 | 69 3 3032 | absent 3 3033 | broad 3 3034 | 84 3 3035 | microhardness 3 3036 | applies 3 3037 | theoretically 3 3038 | hypothesized 3 3039 | ax 3 3040 | 1a 3 3041 | dij 3 3042 | zi 3 3043 | mesoscopic 3 3044 | polygon 3 3045 | emergence 3 3046 | 51 3 3047 | 52 3 3048 | correspondence 3 3049 | ignore 3 3050 | repulsive 3 3051 | proceed 3 3052 | elevated 3 3053 | unusual 3 3054 | resolving 3 3055 | lamellar 3 3056 | straightforward 3 3057 | evolves 3 3058 | pendant 3 3059 | hydroxyl 3 3060 | miniemulsion 3 3061 | hydrophilic 3 3062 | 91 3 3063 | 103 3 3064 | discharge 3 3065 | vapor 3 3066 | cheap 3 3067 | nanostructures 3 3068 | hydrophobic 3 3069 | ab 3 3070 | targeting 3 3071 | cancer 3 3072 | iec 3 3073 | pems 3 3074 | absorb 3 3075 | dilution 3 3076 | directed 3 3077 | carbohydrate 3 3078 | ethyl 3 3079 | attribute 3 3080 | romp 3 3081 | pr3 3 3082 | 67 3 3083 | coordination 3 3084 | replacement 3 3085 | 54 3 3086 | 850 3 3087 | 85 3 3088 | smart 3 3089 | installed 3 3090 | non-linear 3 3091 | guideline 3 3092 | dni 3 3093 | started 3 3094 | hereafter 3 3095 | wmo 3 3096 | memory 3 3097 | diurnal 3 3098 | rodrigo 3 3099 | root 3 3100 | rmse 3 3101 | 5k 3 3102 | offering 3 3103 | reasonably 3 3104 | mies 3 3105 | state-of-the-art 3 3106 | laursen 3 3107 | innovative 3 3108 | schedule 3 3109 | feti 3 3110 | ieti 3 3111 | linearized 3 3112 | rigorous 3 3113 | answer 3 3114 | micromechanics 3 3115 | merely 3 3116 | unstable 3 3117 | low-energy 3 3118 | tetrahedron 3 3119 | regarding 3 3120 | lagged 3 3121 | sph 3 3122 | wcsph 3 3123 | weakness 3 3124 | binder 3 3125 | condensed 3 3126 | appendix 3 3127 | amplification 3 3128 | conveniently 3 3129 | parameterizations 3 3130 | helpful 3 3131 | defω 3 3132 | rewritten 3 3133 | notation 3 3134 | monograph 3 3135 | posteriori 3 3136 | execution 3 3137 | shallow 3 3138 | enforce 3 3139 | blood 3 3140 | subdivision 3 3141 | quadrupole 3 3142 | doping 3 3143 | manipulation 3 3144 | albeit 3 3145 | high-resolution 3 3146 | usefulness 3 3147 | 1992 3 3148 | 1994 3 3149 | lepage 3 3150 | experience 3 3151 | geodetic 3 3152 | graphical 3 3153 | srtm 3 3154 | 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3212 | phrodo 3 3213 | pap 3 3214 | 24h 3 3215 | cd8α 3 3216 | mesoporous 3 3217 | sigma-aldrich 3 3218 | corp 3 3219 | louis 3 3220 | intervention 3 3221 | repeatedly 3 3222 | nanocomplexes 3 3223 | dna 3 3224 | la 3 3225 | cavitation 3 3226 | concentrated 3 3227 | proven 3 3228 | volatility 3 3229 | plain 3 3230 | softening 3 3231 | crack-band 3 3232 | adduct 3 3233 | homoylide 3 3234 | lumoylide 3 3235 | maximal 3 3236 | anticipated 3 3237 | dilute 3 3238 | gan 3 3239 | tio2 3 3240 | inoculant 3 3241 | wider 3 3242 | automotive 3 3243 | belongs 3 3244 | χ0 3 3245 | functionally 3 3246 | transportation 3 3247 | massive 3 3248 | tubular 3 3249 | absorbed 3 3250 | chirped 3 3251 | modest 3 3252 | unable 3 3253 | mof 3 3254 | shadow 3 3255 | rotating 3 3256 | valence 3 3257 | pyridinyl 3 3258 | stronger 3 3259 | drawn 3 3260 | wear-mode 3 3261 | plowing 3 3262 | fretting 3 3263 | add 3 3264 | clsvof 3 3265 | annular 3 3266 | proposal 3 3267 | 1997 3 3268 | five 3 3269 | lift 3 3270 | deviate 3 3271 | schrödinger 3 3272 | coherence 3 3273 | psd 3 3274 | surgery 3 3275 | ordinary 3 3276 | collaborator 3 3277 | hrv 3 3278 | physiological 3 3279 | subsystem 3 3280 | relativity 3 3281 | gravity 3 3282 | non-autonomous 3 3283 | named 3 3284 | cosmic 3 3285 | spatially 3 3286 | ρcrit 3 3287 | ωm 3 3288 | ωλ 3 3289 | implies 3 3290 | emphasis 3 3291 | rhic 3 3292 | discrepancy 3 3293 | self-dual 3 3294 | supergravity 3 3295 | satisfactory 3 3296 | muon 3 3297 | qgp 3 3298 | opposite 3 3299 | oscillator 3 3300 | confining 3 3301 | lightest 3 3302 | obtains 3 3303 | 1535 3 3304 | tritium 3 3305 | one-loop 3 3306 | dressing 3 3307 | hope 3 3308 | spirit 3 3309 | 40k 3 3310 | gamow 3 3311 | forbidden 3 3312 | infrared 3 3313 | terminology 3 3314 | anomaly 3 3315 | infinite 3 3316 | walking 3 3317 | scale-invariant 3 3318 | fμνafaμν 3 3319 | observables 3 3320 | spectator 3 3321 | multiplet 3 3322 | attenuation 3 3323 | chromodynamics 3 3324 | inclusive 3 3325 | two-body 3 3326 | eigenstates 3 3327 | generalization 3 3328 | otherwise 3 3329 | restoration 3 3330 | condensate 3 3331 | favored 3 3332 | redundancy 3 3333 | missed 3 3334 | besides 3 3335 | shortest 3 3336 | belief 3 3337 | charmed 3 3338 | non-perturbative 3 3339 | showing 3 3340 | p-parity 3 3341 | antiquark 3 3342 | reinteractions 3 3343 | irb 3 3344 | expanding 3 3345 | horizon 3 3346 | sitter 3 3347 | t-odd 3 3348 | receive 3 3349 | baryogenesis 3 3350 | cp 3 3351 | pentaquark 3 3352 | redefinition 3 3353 | canonically 3 3354 | big 3 3355 | firm 3 3356 | lhc 3 3357 | denotes 3 3358 | conceptual 3 3359 | dynamically 3 3360 | π0 3 3361 | really 3 3362 | k0 3 3363 | μεμ 3 3364 | conflicting 3 3365 | opportunity 3 3366 | si12 3 3367 | m3 3 3368 | ternary 3 3369 | ontology 3 3370 | exponentially 3 3371 | ψiii 3 3372 | flow-induced 3 3373 | extensional 3 3374 | dod 3 3375 | bounded 3 3376 | exercise 3 3377 | gelation 3 3378 | own 3 3379 | fibrin 3 3380 | consecutive 3 3381 | waveform 3 3382 | 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3440 | completed 3 3441 | varnish 3 3442 | administrative 3 3443 | university 3 3444 | vocabulary 3 3445 | semantic 3 3446 | race 3 3447 | data-centric 3 3448 | verified 3 3449 | 20m 3 3450 | tight 3 3451 | sandstone 3 3452 | e-procurement 3 3453 | hypergraph 3 3454 | hyperedges 3 3455 | it's 3 3456 | gesture 3 3457 | adaboost 3 3458 | reclamation 3 3459 | semantics 3 3460 | provider 3 3461 | beamforming 3 3462 | vog 3 3463 | pupil 3 3464 | non-fragile 3 3465 | screw 3 3466 | fdi 3 3467 | rail 3 3468 | formwork 3 3469 | lpf 3 3470 | workmanship 3 3471 | stirrup 3 3472 | hook 3 3473 | microct 3 3474 | am 3 3475 | volatile 3 3476 | tcr 3 3477 | circumvent 2 3478 | guaranteed 2 3479 | relying 2 3480 | semi 2 3481 | spite 2 3482 | nano 2 3483 | semiclassical 2 3484 | qualitatively 2 3485 | delivered 2 3486 | violent 2 3487 | derivation 2 3488 | hopping 2 3489 | virial 2 3490 | fluctuating 2 3491 | whenever 2 3492 | mit 2 3493 | bag-model 2 3494 | encountered 2 3495 | spectroscopic 2 3496 | inhomogeneous 2 3497 | broadening 2 3498 | sub 2 3499 | tetrahedral 2 3500 | xas 2 3501 | above-mentioned 2 3502 | dcpd 2 3503 | c10h12 2 3504 | τ1 2 3505 | τ2 2 3506 | stone 2 3507 | creation 2 3508 | dangling 2 3509 | trigger 2 3510 | enhances 2 3511 | intuitively 2 3512 | formally 2 3513 | realization 2 3514 | hoping 2 3515 | independently 2 3516 | believed 2 3517 | character 2 3518 | justified 2 3519 | surroundings 2 3520 | quenching 2 3521 | polarons 2 3522 | pumped 2 3523 | lasing 2 3524 | luminescence 2 3525 | chesnavich 2 3526 | possessing 2 3527 | nanostructured 2 3528 | photonic 2 3529 | familiar 2 3530 | organization 2 3531 | nearby 2 3532 | centred 2 3533 | broader 2 3534 | qed 2 3535 | physically 2 3536 | crossover 2 3537 | enantiomeric 2 3538 | isolate 2 3539 | reagent 2 3540 | distinguish 2 3541 | polarised 2 3542 | bent 2 3543 | dott 2 3544 | 5a 2 3545 | twist 2 3546 | 3b 2 3547 | diminish 2 3548 | bit 2 3549 | emerging 2 3550 | two-layer 2 3551 | system-bath 2 3552 | 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3668 | disordered 2 3669 | quenched 2 3670 | measurable 2 3671 | re-solidified 2 3672 | homologous 2 3673 | n-decane 2 3674 | n-eicosane 2 3675 | 118 2 3676 | bonded 2 3677 | monodomain 2 3678 | cardiac 2 3679 | dof 2 3680 | demanding 2 3681 | presenting 2 3682 | adaptivity 2 3683 | dea 2 3684 | scaled 2 3685 | univariate 2 3686 | three-dimensions 2 3687 | imposition 2 3688 | lbb 2 3689 | newton 2 3690 | blocking 2 3691 | non-negligible 2 3692 | inequality 2 3693 | loosest 2 3694 | emerge 2 3695 | peskin 2 3696 | tailor-made 2 3697 | hydrodynamic 2 3698 | sgh 2 3699 | hallquist 2 3700 | interpolated 2 3701 | cch 2 3702 | seem 2 3703 | retrospective 2 3704 | extends 2 3705 | ullrich 2 3706 | jablonowski 2 3707 | strang 2 3708 | rosenbrock 2 3709 | circumvents 2 3710 | steady-state 2 3711 | resolve 2 3712 | least-squares 2 3713 | ui 2 3714 | iyi 2 3715 | compressed 2 3716 | physicochemical 2 3717 | compartment 2 3718 | well-developed 2 3719 | 102 2 3720 | invalid 2 3721 | prohibitively 2 3722 | high-aspect 2 3723 | astronomical 2 3724 | regardless 2 3725 | anticipate 2 3726 | confirm 2 3727 | begin 2 3728 | dominate 2 3729 | discontinuity 2 3730 | aligned 2 3731 | analyse 2 3732 | rarefied 2 3733 | multi-term 2 3734 | caputo 2 3735 | nonsmooth 2 3736 | agree 2 3737 | rte 2 3738 | scattered 2 3739 | dot 2 3740 | wte 2 3741 | wigner 2 3742 | outflow 2 3743 | timestep 2 3744 | macro-scale 2 3745 | intractable 2 3746 | fully-coupled 2 3747 | two-phase 2 3748 | unchanged 2 3749 | imposed 2 3750 | relaxational 2 3751 | dendrite 2 3752 | asset 2 3753 | analytically 2 3754 | seek 2 3755 | multi-cell 2 3756 | unbounded 2 3757 | hurdle 2 3758 | fail 2 3759 | extrapolated 2 3760 | huynh 2 3761 | incurred 2 3762 | phase-space 2 3763 | 49 2 3764 | 4000km 2 3765 | triangle 2 3766 | planet 2 3767 | advantageous 2 3768 | synchronization 2 3769 | processor 2 3770 | adding 2 3771 | hopped 2 3772 | rounding 2 3773 | incompressible 2 3774 | interconnected 2 3775 | tackled 2 3776 | hp 2 3777 | irregular 2 3778 | r-adaptivity 2 3779 | twenty 2 3780 | altering 2 3781 | r-adaptive 2 3782 | monge 2 3783 | ampère 2 3784 | galilean 2 3785 | body 2 3786 | coarse-grained 2 3787 | pairwise 2 3788 | propagate 2 3789 | aforementioned 2 3790 | multiphase 2 3791 | viable 2 3792 | surrounded 2 3793 | travel 2 3794 | gross 2 3795 | vicinity 2 3796 | redeposition 2 3797 | larmor 2 3798 | assembled 2 3799 | dried 2 3800 | calumite 2 3801 | respond 2 3802 | differently 2 3803 | ribis 2 3804 | y2o3 2 3805 | dramatically 2 3806 | sias 2 3807 | partner 2 3808 | recombine 2 3809 | weakening 2 3810 | dashed 2 3811 | sandwiched 2 3812 | advancing 2 3813 | micro-scale 2 3814 | triaxial 2 3815 | manufactured 2 3816 | stabilised 2 3817 | destabilise 2 3818 | stabilized 2 3819 | cubic 2 3820 | catlow 2 3821 | govers 2 3822 | supercell 2 3823 | di-interstitial 2 3824 | displaced 2 3825 | lsda 2 3826 | geng 2 3827 | fourth 2 3828 | quad-interstitial 2 3829 | carter 2 3830 | wasteforms 2 3831 | stream 2 3832 | compensated 2 3833 | stoichiometric 2 3834 | again 2 3835 | iteratively 2 3836 | mc 2 3837 | randomly 2 3838 | schematic 2 3839 | 14at 2 3840 | hardening 2 3841 | impurity 2 3842 | morelon 2 3843 | rigid 2 3844 | completeness 2 3845 | reproduce 2 3846 | deficiency 2 3847 | underestimated 2 3848 | electro-chemical 2 3849 | 2μm 2 3850 | zircaloy-4 2 3851 | ductility 2 3852 | compromise 2 3853 | dhc 2 3854 | consolidated 2 3855 | pulsed 2 3856 | pass 2 3857 | pressing 2 3858 | eutectic 2 3859 | deduce 2 3860 | c1 2 3861 | counter 2 3862 | exploration 2 3863 | packed 2 3864 | plastically 2 3865 | abaqus 2 3866 | pole 2 3867 | tilt 2 3868 | quoted 2 3869 | correlating 2 3870 | homogenous 2 3871 | cooled 2 3872 | hundred 2 3873 | accelerate 2 3874 | highlighted 2 3875 | fukushima 2 3876 | atf 2 3877 | enabling 2 3878 | nanoscale 2 3879 | going 2 3880 | 64 2 3881 | consisted 2 3882 | corrected 2 3883 | reconstructed 2 3884 | front 2 3885 | iv 2 3886 | uco 2 3887 | vhtr 2 3888 | burnup 2 3889 | noble 2 3890 | accommodated 2 3891 | associating 2 3892 | rearrangement 2 3893 | 04 2 3894 | 88 2 3895 | martensitic 2 3896 | inert 2 3897 | perfect 2 3898 | magnox 2 3899 | methane 2 3900 | leakage 2 3901 | enlarged 2 3902 | absorber 2 3903 | reflector 2 3904 | sequential 2 3905 | converge 2 3906 | rcs 2 3907 | screening 2 3908 | 1st 2 3909 | containment 2 3910 | filled 2 3911 | gamma 2 3912 | wet 2 3913 | geomagnetic 2 3914 | poorly 2 3915 | earth 2 3916 | observatory 2 3917 | secular 2 3918 | mf 2 3919 | impulse 2 3920 | station 2 3921 | densely 2 3922 | updated 2 3923 | deriving 2 3924 | zhao 2 3925 | macromolecular 2 3926 | well-defined 2 3927 | substitution 2 3928 | reacted 2 3929 | modular 2 3930 | 66 2 3931 | crosslinked 2 3932 | end-linking 2 3933 | entanglement 2 3934 | designated 2 3935 | nl 2 3936 | elasto-plastic 2 3937 | sems 2 3938 | come 2 3939 | superior 2 3940 | reciprocal 2 3941 | fold 2 3942 | q2 2 3943 | bh 2 3944 | bd 2 3945 | 1ns 2 3946 | incompatible 2 3947 | abc 2 3948 | one-dimensional 2 3949 | dotera 2 3950 | tiling 2 3951 | mayer 2 3952 | elementary 2 3953 | lamella 2 3954 | pose 2 3955 | styrene 2 3956 | compete 2 3957 | inexpensive 2 3958 | initiating 2 3959 | seeing 2 3960 | dimethyl 2 3961 | l-lactic 2 3962 | citric 2 3963 | oligomer 2 3964 | plca 2 3965 | plla 2 3966 | copolymerization 2 3967 | biodegradable 2 3968 | remained 2 3969 | water-soluble 2 3970 | oil-soluble 2 3971 | 89 2 3972 | 93 2 3973 | 94 2 3974 | 78 2 3975 | raft 2 3976 | feedstock 2 3977 | mwnts 2 3978 | arc 2 3979 | ablation 2 3980 | 4nm 2 3981 | scalable 2 3982 | elrs 2 3983 | self-assemble 2 3984 | di-block 2 3985 | dl 2 3986 | responsible 2 3987 | imparts 2 3988 | step-growth 2 3989 | heterophase 2 3990 | reactant 2 3991 | tunable 2 3992 | coat 2 3993 | brush 2 3994 | bioactive 2 3995 | vesicle 2 3996 | alkylidene 2 3997 | emphasized 2 3998 | strictly 2 3999 | purified 2 4000 | covalent 2 4001 | moiety 2 4002 | rom 2 4003 | acrylate 2 4004 | grafting 2 4005 | ba 2 4006 | hema 2 4007 | cured 2 4008 | formaldehyde 2 4009 | iact 2 4010 | dη 2 4011 | inlet 2 4012 | 800w 2 4013 | passed 2 4014 | domestic 2 4015 | varies 2 4016 | attested 2 4017 | unity 2 4018 | microgeneration 2 4019 | severely 2 4020 | inform 2 4021 | proximity 2 4022 | obstruction 2 4023 | historically 2 4024 | linke 2 4025 | 1940 2 4026 | pyrheliometers 2 4027 | radiance 2 4028 | meeting 2 4029 | 1966 2 4030 | ångström 2 4031 | contributed 2 4032 | 1980 2 4033 | recommended 2 4034 | hachisuka 2 4035 | bandwidth 2 4036 | gradually 2 4037 | accumulated 2 4038 | unbiased 2 4039 | representing 2 4040 | 00 2 4041 | cut-off 2 4042 | 5h 2 4043 | slight 2 4044 | visually 2 4045 | voc 2 4046 | vdc 2 4047 | cpv 2 4048 | pv 2 4049 | open-circuit 2 4050 | mpp 2 4051 | fernández 2 4052 | 2014a 2 4053 | 2013a 2 4054 | insulating 2 4055 | hartree 2 4056 | wavefunctions 2 4057 | conical 2 4058 | hamaker 2 4059 | nonconforming 2 4060 | variationally 2 4061 | augmentation 2 4062 | redesigned 2 4063 | quantification 2 4064 | constitutes 2 4065 | refers 2 4066 | large-scale 2 4067 | subdivided 2 4068 | sub-problems 2 4069 | subdomains 2 4070 | nurbs-based 2 4071 | poisson 2 4072 | logarithmic 2 4073 | schwarz 2 4074 | restrict 2 4075 | fed 2 4076 | stimulus 2 4077 | tensor-product 2 4078 | jacobi 2 4079 | marching 2 4080 | poroelasticity 2 4081 | compressible 2 4082 | backward 2 4083 | stepping 2 4084 | updating 2 4085 | subroutine 2 4086 | intact 2 4087 | lagging 2 4088 | ineffective 2 4089 | modifying 2 4090 | lee 2 4091 | compaction 2 4092 | green 2 4093 | gradual 2 4094 | filling 2 4095 | simulate 2 4096 | classic 2 4097 | deteriorated 2 4098 | 43 2 4099 | improves 2 4100 | p-box 2 4101 | epistemic 2 4102 | adopts 2 4103 | conceptually 2 4104 | format 2 4105 | δtn 2 4106 | ansatz 2 4107 | aided 2 4108 | piecewise 2 4109 | well-studied 2 4110 | foundation 2 4111 | deployment 2 4112 | mentioning 2 4113 | appeared 2 4114 | contrary 2 4115 | 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2 4174 | user-defined 2 4175 | hoc 2 4176 | paradigm 2 4177 | rest 2 4178 | manual 2 4179 | mar 2 4180 | 1995 2 4181 | conduct 2 4182 | graphic 2 4183 | www 2 4184 | com 2 4185 | nonetheless 2 4186 | reveals 2 4187 | dems 2 4188 | synthetically 2 4189 | src-he 2 4190 | generalised 2 4191 | gcc-phat 2 4192 | reverberation 2 4193 | za 2 4194 | τm 2 4195 | microphone 2 4196 | kalman 2 4197 | stokes 2 4198 | multiple-scales 2 4199 | acoustic 2 4200 | shifting 2 4201 | regard 2 4202 | 1960s 2 4203 | generic 2 4204 | equivalently 2 4205 | periodicity 2 4206 | contract 2 4207 | undertaken 2 4208 | suppress 2 4209 | enterprise 2 4210 | narrative 2 4211 | personnel 2 4212 | conjunction 2 4213 | destructive 2 4214 | complication 2 4215 | facilitates 2 4216 | high-throughput 2 4217 | automation 2 4218 | heat-treated 2 4219 | dopant 2 4220 | anyone 2 4221 | roughly 2 4222 | 48i 2 4223 | anion 2 4224 | iedp 2 4225 | lsc 2 4226 | ysz 2 4227 | deduced 2 4228 | set-up 2 4229 | 2a 2 4230 | acting 2 4231 | calcination 2 4232 | 1h 2 4233 | coalescence 2 4234 | semiconducting 2 4235 | anisotropy 2 4236 | render 2 4237 | lithography 2 4238 | nanopillars 2 4239 | icp 2 4240 | pillar 2 4241 | comsol 2 4242 | single-electron 2 4243 | 1b 2 4244 | dqd 2 4245 | qd 2 4246 | spin-on 2 4247 | rendered 2 4248 | insoluble 2 4249 | elution 2 4250 | baking 2 4251 | normalized 2 4252 | nanowire 2 4253 | thinned 2 4254 | 50nm 2 4255 | modulation 2 4256 | nanodevices 2 4257 | identifying 2 4258 | unpaired 2 4259 | fails 2 4260 | ge 2 4261 | p-type 2 4262 | ald 2 4263 | 350 2 4264 | keithley 2 4265 | 1mhz 2 4266 | manufacture 2 4267 | self-folding 2 4268 | embossing 2 4269 | paa 2 4270 | patterning 2 4271 | photolithographic 2 4272 | pegdma 2 4273 | biomedical 2 4274 | selecting 2 4275 | uncd 2 4276 | ebl 2 4277 | tsv 2 4278 | accelerator 2 4279 | focal 2 4280 | assay 2 4281 | microchannel 2 4282 | straining 2 4283 | academic 2 4284 | microfluidics 2 4285 | fabricate 2 4286 | prototyping 2 4287 | 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4345 | lcprg 2 4346 | clinically 2 4347 | high-frequency 2 4348 | gallium 2 4349 | cryo-fib 2 4350 | opening 2 4351 | homo 2 4352 | lumo 2 4353 | 3-dc 2 4354 | pyridinium 2 4355 | regioisomer 2 4356 | c2 2 4357 | aluminides 2 4358 | machining 2 4359 | hardened 2 4360 | spintronic 2 4361 | dm 2 4362 | potency 2 4363 | inoculation 2 4364 | employment 2 4365 | fe2 2 4366 | valent 2 4367 | ellipsometric 2 4368 | iγ 2 4369 | eobg 2 4370 | uncoated 2 4371 | az31 2 4372 | researched 2 4373 | passenger 2 4374 | crushing 2 4375 | pier 2 4376 | exhaustive 2 4377 | superposition 2 4378 | brought 2 4379 | n-propyl 2 4380 | benzene 2 4381 | c3h3 2 4382 | chirp 2 4383 | heavier 2 4384 | l-cysteine 2 4385 | assigned 2 4386 | intermolecular 2 4387 | gave 2 4388 | adsorbs 2 4389 | d2 2 4390 | boost 2 4391 | crystallographic 2 4392 | recoil 2 4393 | all-electron 2 4394 | cc-pvtz 2 4395 | minor 2 4396 | lr-ccsd 2 4397 | abelian 2 4398 | 5cm 2 4399 | cross-linked 2 4400 | evaporator 2 4401 | trimer 2 4402 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