├── .github └── ISSUE_TEMPLATE │ ├── digest.md │ └── overview.md ├── README.md └── docs ├── A_Simple_BERT-Based_Approach_for_Lexical_Simplification.md ├── A_Structured_Self-Attentive_Sentence_Embedding.md ├── A_Unified_MRC_Framework_for_Named_Entity_Recognition.md ├── Active_learning_for_deep_semantic_parsing.md ├── Adapting_Language_Models_for_Non-Parallel_Author-Stylized_Rewriting.md ├── Aligning_the_Pretraining_and_Finetuning_Objectives_of_Language_Models.md ├── AllenNLP_A_Deep_Semantic_Natural_Language_Processing_Platform.md ├── An_Empirical_Study_of_Incorporating_Pseudo_Data_into_Grammatical_Error_Correction.md ├── Analytic_Score_Prediction_and_Justification_Identification_in_Automated_Short_Answer_Scoring.md ├── Automatic_Assessment_of_Absolute_Sentence_Complexity.md ├── Automatic_Fact-Guided_Sentence_Modification.md ├── BERT-ATTACK_Adversarial_Attack_Against_BERT_Using_BERT.md ├── Baselines_and_Bigrams_Simple_Good_Sentiment_and_Topic_Classification.md ├── Better_Evaluation_for_Grammatical_Error_Correction.md ├── Bidirectional_LSTM-CRF_Models_for_Sequence_Tagging.md ├── BioBERT_a_pre-trained_biomedical_language_representation_model_for_biomedical_text_mining.md ├── Blank_Language_Models.md ├── Building_a_Semantic_Parser_Overnight.md ├── CTRL_A_Conditional_Transformer_Language_Model_for_Controllable_Generation.md ├── CatBoost_unbiased_boosting_with_categorical_features.md ├── Character-based_Bidirectional_LSTM-CRF_with_words_and_characters_for_Japanese_Named_Entity_Recognition.md ├── Clustering_of_Deep_Contextualized_Representations_for_Summarization_of_Biomedical_Texts.md ├── Conditional_BERT_Contextual_Augmentation.md ├── Confidence_Modeling_for_Neural_Semantic_Parsing.md ├── Contextual_String_Embeddings_for_Sequence_Labeling.md ├── Controllable_Abstractive_Summarization.md ├── Controllable_Data_Synthesis_Method_for_Grammatical_Error_Correction.md ├── Controllable_Sentence_Simplification.md ├── Controllable_Sentence_Simplification_Employing_Syntactic_and_Lexical_Constraints.md ├── Controllable_Text_Simplification_with_Lexical_Constraint_Loss.md ├── Controlling_Neural_Machine_Translation_Formality_with_Synthetic_Supervision.md ├── Controlling_Text_Complexity_in_Neural_Machine_Translation.md ├── Controlling_the_Output_Length_of_Neural_Machine_Translation.md ├── Conversational_Word_Embedding_for_Retrieval-Based_Dialog_System.md ├── Cross-lingual_Pre-training_Based_Transfer_for_Zero-shot_Neural_Machine_Translation.md ├── Cross-lingual_Transfer_Learning_for_Japanese_Named_Entity_Recognition.md ├── DEFINE_Deep_Factorized_Input_Token_Embeddings for Neural Sequence Modeling.md ├── Data_Noising_as_Smoothing_in_Neural_Network_Language_Models.md ├── Deep_Active_Learning_for Named Entity Recognition.md ├── Denoising_based_Sequence-to-Sequence_Pre-training_for_Text_Generation.md ├── DistilBERT_a_distilled_version_of_BERT_smaller_faster_cheaper_and_lighter.md ├── Domain_Control_for_Neural_Machine_Translation.md ├── Dont_Give_Me_the_Details_Just_the_Summary_Topic-Aware_Convolutional_Neural_Networks_for_Extreme_Summarization.md ├── ELECTRA_Pre-Training_Text_Encoders_as_Discriminators_Rather_Than_Generators.md ├── ERNIE_Enhanced_Representation_through_Knowledge_Integration.md ├── EditNTS_An_Neural_Programmer-Interpreter_Model_for_Sentence_Simplification_through_Explicit_Editing.md ├── Enabling_Language_Models_to_Fill_in_the_Blanks.md ├── End-To-End_Memory_Networks.md ├── End-to-end_Sequence_Labeling_via_Bi-directional_LSTM-CNNs-CRF.md ├── Exploiting_Rich_Syntactic_Information_for_Semantic_Parsing_with_Graph-to-Sequence_Model.md ├── Faster_Transformer_Decoding_N-gram_Masked_Self-Attention.md ├── Fine-Tuning_Pretrained_Language_Models_Weight_Initializations_Data_Orders_and_Early_Stopping.md ├── Fine-tune_BERT_for_Extractive_Summarization.md ├── Fully_Convolutional_Networks_for_Semantic_Segmentation.md ├── GLOSS_Generative_Latent_Optimization_of_Sentence_Representations.md ├── Get_To_The_Point_Summarization_with_Pointer-Generator_Networks.md ├── Global_Encoding_for_Abstractive_Summarization.md ├── Global_Optimization_under_Length_Constraint_for_Neural_Text_Summarization.md ├── Google’s_Multilingual_Neural_Machine_Translation_System_Enabling_Zero-Shot_Translation.md ├── Hint-Based_Training_for_Non-Autoregressive_Machine_Translation.md ├── Improving_Back-Translation_with_Uncertainty-based_Confidence_Estimation.md ├── Improving_Grammatical_Error_Correction_via_Pre-Training_a_Copy-Augmented_Architecture_with_Unlabeled_Data.md ├── Improving_Text-to-SQL_Evaluation_Methodology.md ├── Improving_anguage_Understanding_by_Generative_Pre-Training.md ├── Inject_Rubrics_into_Short_Answer_Grading_System.md ├── Injecting_Numerical_Reasoning_Skills_into_Language_Models.md ├── Iterative_Back-Translation_for_Neural_Machine_Translation.md ├── LTP_A_New_Active_Learning_Strategy_for_CRF-Based_Named_Entity_Recognition.md ├── Lambda_Dependency-Based_Compositional_Semantics.md ├── Language_to_Code_Learning_Semantic_Parsers_for_If-This-Then-That_Recipes.md ├── Language_to_Logical_Form_with_Neural_Attention.md ├── Large_Scale_Question_Paraphrase_Retrieval_with_Smoothed_Deep_Metric_Learning.md ├── LayoutLM_Pre-training_of_Text_and_Layout_for_Document_Image_Understanding.md ├── Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment .md ├── Learning_Simplifications_for_Specific_Target_Audiences.md ├── LightGBM_A_Highly_Efficient_Gradient_Boosting_Decision_Tree.md ├── Low-Resource_Neural_Headline_Generation.md ├── MASS_Masked_Sequence_to_Sequence_Pre-training_for_Language_Generation.md ├── Measuring_Compositional_Generalization_A_Comprehensive_Method_on_Realistic_Data.md ├── Microsoft_Translator_at_WMT_2019_Towards_Large-Scale_Document-Level_Neural_Machine_Translation.md ├── Misspelling_Oblivious_Word_Embedding.md ├── Model-Agnostic_Meta-Learning_for_Fast_Adaptation_of_Deep_Networks.md ├── Natural_Language_to_Structured_Query_Generation_via_Meta-Learning.md ├── Natural_Perturbation_for_Robust_Question_Answering.md ├── Neural_Architectures_for_Nested_NER_through_Linearization.md ├── Neural_Machine_Translation_of_Rare_Words_with_Subword_Units.md ├── Neural_News_Recommendation_with_Long_and_Short-term_User_Representations.md ├── Neural_Semantic_Parsing_with_Type_Constraints_for_Semi-Structured_Tables.md ├── Neural_Text_Generation_with_Unlikelihood_Training.md ├── Neural_Word_Embedding_as_Implicit_Matrix_Factorization.md ├── Non-Autoregressive_Neural_Machine_Translation.md ├── On_First-Order_Meta-Learning_Algorithms.md ├── PAWS-X_A_Cross-lingual_Adversarial_Dataset_for_Paraphrase_Identification.md ├── PAWS_Paraphrase_Adversaries_from_Word_Scrambling.md ├── Personalizing_Lexical_Simplification.md ├── Plug_and_Play_Language_Models_A_Simple_Approach_to_Controlled_Text_Generation.md ├── Pseudo-Bidirectional_Decoding_for_Local Sequence_Transduction.md ├── Reducing_Transformer_Depth_on_Demand_with_Structured_Dropout.md ├── Retrieve_Rerank_and_Rewrite_Soft_Template_Based_Neural_Summarization.md ├── Retrofitting_Contextualized_Word_Embeddings_with_Paraphrases.md ├── RoBERTa_A_Robustly_Optimized_BERT_Pretraining_Approach.md ├── Self-Supervised_Neural_Machine_Translation.md ├── Semantic_Parsing_on_Freebase_from_Question-Answer_Pairs.md ├── Semi-supervised_sequence_tagging_with_bidirectional_language_models.md ├── SentiHood- Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods.md ├── Sequence-to-sequence_Pre-training_with_Data_Augmentation_for_Sentence_Rewriting.md ├── Show_Your_Work_Improved_Reporting_of_Experimental_Results.md ├── Simple_Unsupervised_Keyphrase_Extraction_using_Sentence_Embedding.md ├── Simple_Unsupervised_Summarization_by_Contextual_Matching.md ├── Soft_Contextual_Data_Augmentation_for_Neural_Machine_Translation.md ├── Style_Transformer_Unpaired_Text_Style_Transfer_without_Disentangled_Latent_Representation.md ├── TABERT- Pretraining for Joint Understanding of Textual and Tabular Data.md ├── TENER_Adapting_Transformer_Encoder_for_Named_Entity_Recognition.md ├── Tagged_Back-Translation.md ├── The_AIP-Tohoku_System_at_the_BEA-2019_Shared_Task.md ├── The_Curious_Case_of_Neural_Text_Degeneration.md ├── TransferTransfo_A_Transfer_Learning_Approach_for_Neural_Network_Based_Conversational_Agents.md ├── Understanding_Back-Translation_at_Scale.md ├── Utilizing_BERT_for_Aspect-Based_Sentiment_Analysis_via_Constructing_Auxiliary_Sentence.md ├── Variational_Pretraining_for_Semi-supervised_Text_Classification.md ├── What_makes_a_good_conversation_How_controllable_attributes_affect_human_judgments.md ├── Word2Bits_Quantized_Word_Vectors.md └── XGBoost_A_Scalable_Tree_Boosting_System.md /.github/ISSUE_TEMPLATE/digest.md: 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