├── images └── 1.jpg ├── .gitignore ├── CODE_OF_CONDUCT.md ├── contributing.md ├── LICENSE └── README.md /images/1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/binhetech/Awesome-Chinese-NLP/master/images/1.jpg -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | env/ 12 | build/ 13 | develop-eggs/ 14 | dist/ 15 | downloads/ 16 | eggs/ 17 | .eggs/ 18 | lib/ 19 | lib64/ 20 | parts/ 21 | sdist/ 22 | var/ 23 | wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | 28 | # PyInstaller 29 | # Usually these files are written by a python script from a template 30 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 31 | *.manifest 32 | *.spec 33 | 34 | # Installer logs 35 | pip-log.txt 36 | pip-delete-this-directory.txt 37 | 38 | # Unit test / coverage reports 39 | htmlcov/ 40 | .tox/ 41 | .coverage 42 | .coverage.* 43 | .cache 44 | nosetests.xml 45 | coverage.xml 46 | *.cover 47 | .hypothesis/ 48 | 49 | # Translations 50 | *.mo 51 | *.pot 52 | 53 | # Django stuff: 54 | *.log 55 | local_settings.py 56 | 57 | # Flask stuff: 58 | instance/ 59 | .webassets-cache 60 | 61 | # Scrapy stuff: 62 | .scrapy 63 | 64 | # Sphinx documentation 65 | docs/_build/ 66 | 67 | # PyBuilder 68 | target/ 69 | 70 | # Jupyter Notebook 71 | .ipynb_checkpoints 72 | 73 | # pyenv 74 | .python-version 75 | 76 | # celery beat schedule file 77 | celerybeat-schedule 78 | 79 | # SageMath parsed files 80 | *.sage.py 81 | 82 | # dotenv 83 | .env 84 | 85 | # virtualenv 86 | .venv 87 | venv/ 88 | ENV/ 89 | 90 | # Spyder project settings 91 | .spyderproject 92 | .spyproject 93 | 94 | # Rope project settings 95 | .ropeproject 96 | 97 | # mkdocs documentation 98 | /site 99 | 100 | # mypy 101 | .mypy_cache/ 102 | 103 | #data 104 | 105 | -------------------------------------------------------------------------------- /CODE_OF_CONDUCT.md: -------------------------------------------------------------------------------- 1 | # Contributor Covenant Code of Conduct 2 | 3 | ## Our Pledge 4 | 5 | In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. 6 | 7 | ## Our Standards 8 | 9 | Examples of behavior that contributes to creating a positive environment include: 10 | 11 | * Using welcoming and inclusive language 12 | * Being respectful of differing viewpoints and experiences 13 | * Gracefully accepting constructive criticism 14 | * Focusing on what is best for the community 15 | * Showing empathy towards other community members 16 | 17 | Examples of unacceptable behavior by participants include: 18 | 19 | * The use of sexualized language or imagery and unwelcome sexual attention or advances 20 | * Trolling, insulting/derogatory comments, and personal or political attacks 21 | * Public or private harassment 22 | * Publishing others' private information, such as a physical or electronic address, without explicit permission 23 | * Other conduct which could reasonably be considered inappropriate in a professional setting 24 | 25 | ## Our Responsibilities 26 | 27 | Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior. 28 | 29 | Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful. 30 | 31 | ## Scope 32 | 33 | This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. 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Further details of specific enforcement policies may be posted separately. 38 | 39 | Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership. 40 | 41 | ## Attribution 42 | 43 | This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, available at [http://contributor-covenant.org/version/1/4][version] 44 | 45 | [homepage]: http://contributor-covenant.org 46 | [version]: http://contributor-covenant.org/version/1/4/ -------------------------------------------------------------------------------- /contributing.md: -------------------------------------------------------------------------------- 1 | # Contribution Guidelines 2 | 3 | Please note that this project is released with a [Contributor Code of Conduct](code-of-conduct.md). By participating in this project you agree to abide by its terms. 4 | 5 | # The pull request should have a useful title. Pull requests with `Update readme.md` as title will be closed right away because I'm so tired of nobody reading this document. Please carefully read everything in `Adding to this list`. 6 | 7 | ## Table of Contents 8 | 9 | - [Adding to this list](#adding-to-this-list) 10 | - [Creating your own awesome list](#creating-your-own-awesome-list) 11 | - [Adding something to an awesome list](#adding-something-to-an-awesome-list) 12 | - [Updating your Pull Request](#updating-your-pull-request) 13 | 14 | ## Adding to this list 15 | 16 | Please ensure your pull request adheres to the following guidelines: 17 | 18 | - Search previous suggestions before making a new one, as yours may be a duplicate. 19 | - Make sure the list is useful before submitting. 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Access the awesome list's GitHub page. For example: https://github.com/sindresorhus/awesome 43 | 2. Click on the `readme.md` file: ![Step 2 Click on Readme.md](https://cloud.githubusercontent.com/assets/170270/9402920/53a7e3ea-480c-11e5-9d81-aecf64be55eb.png) 44 | 3. Now click on the edit icon. ![Step 3 - Click on Edit](https://cloud.githubusercontent.com/assets/170270/9402927/6506af22-480c-11e5-8c18-7ea823530099.png) 45 | 4. You can start editing the text of the file in the in-browser editor. Make sure you follow guidelines above. You can use [GitHub Flavored Markdown](https://help.github.com/articles/github-flavored-markdown/). ![Step 4 - Edit the file](https://cloud.githubusercontent.com/assets/170270/9402932/7301c3a0-480c-11e5-81f5-7e343b71674f.png) 46 | 5. Say why you're proposing the changes, and then click on "Propose file change". ![Step 5 - Propose Changes](https://cloud.githubusercontent.com/assets/170270/9402937/7dd0652a-480c-11e5-9138-bd14244593d5.png) 47 | 6. 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[Chinese NLP Toolkits 中文NLP工具](https://github.com/crownpku/awesome-chinese-nlp#chinese-nlp-toolkits-中文nlp工具) 16 | 17 | * #### [Toolkits 综合NLP工具包](https://github.com/crownpku/awesome-chinese-nlp#toolkits-综合nlp工具包-1) 18 | * #### [Popular NLP Toolkits for English/Multi-Language 常用的英文或支持多语言的NLP工具包](https://github.com/crownpku/awesome-chinese-nlp#popular-nlp-toolkits-for-englishmulti-language-常用的英文或支持多语言的nlp工具包-1) 19 | * #### [Chinese Word Segment 中文分词](https://github.com/crownpku/awesome-chinese-nlp#chinese-word-segment-中文分词-1) 20 | * #### [Information Extraction 信息提取](https://github.com/crownpku/awesome-chinese-nlp#information-extraction-信息提取-1) 21 | * #### [QA & Chatbot 问答和聊天机器人](https://github.com/crownpku/awesome-chinese-nlp#qa--chatbot-问答和聊天机器人-1) 22 | ### 2. [Corpus 中文语料](https://github.com/crownpku/awesome-chinese-nlp#corpus-中文语料) 23 | ### 3. [Organizations 中文NLP学术组织及竞赛](https://github.com/crownpku/awesome-chinese-nlp#organizations-%E4%B8%AD%E6%96%87nlp%E5%AD%A6%E6%9C%AF%E7%BB%84%E7%BB%87%E5%8F%8A%E7%AB%9E%E8%B5%9B) 24 | ### 4. [Industry 中文NLP商业服务](https://github.com/crownpku/awesome-chinese-nlp#industry-%E4%B8%AD%E6%96%87nlp%E5%95%86%E4%B8%9A%E6%9C%8D%E5%8A%A1) 25 | ### 5. [Learning Materials 学习资料](https://github.com/crownpku/awesome-chinese-nlp#learning-materials-学习资料) 26 | 27 |
28 |
29 | 30 | ## Chinese NLP Toolkits 中文NLP工具 31 | 32 | ### Toolkits 综合NLP工具包 33 | 34 | - [THULAC 中文词法分析工具包](http://thulac.thunlp.org/) by 清华 (C++/Java/Python) 35 | 36 | - [NLPIR](https://github.com/NLPIR-team/NLPIR) by 中科院 (Java) 37 | 38 | - [LTP 语言技术平台](https://github.com/HIT-SCIR/ltp) by 哈工大 (C++) [pylyp](https://github.com/HIT-SCIR/pyltp) LTP的python封装 39 | 40 | - [FudanNLP](https://github.com/FudanNLP/fnlp) by 复旦 (Java) 41 | 42 | - [BaiduLac](https://github.com/baidu/lac) by 百度 Baidu's open-source lexical analysis tool for Chinese, including word segmentation, part-of-speech tagging & named entity recognition. 43 | 44 | - [HanLP](https://github.com/hankcs/HanLP) (Java) 45 | 46 | - [SnowNLP](https://github.com/isnowfy/snownlp) (Python) Python library for processing Chinese text 47 | 48 | - [YaYaNLP](https://github.com/Tony-Wang/YaYaNLP) (Python) 纯python编写的中文自然语言处理包，取名于“牙牙学语” 49 | 50 | - [小明NLP](https://github.com/SeanLee97/xmnlp) (Python) 轻量级中文自然语言处理工具 51 | 52 | - [DeepNLP](https://github.com/rockingdingo/deepnlp) (Python) Deep Learning NLP Pipeline implemented on Tensorflow with pretrained Chinese models. 53 | 54 | - [chinese_nlp](https://github.com/taozhijiang/chinese_nlp) (C++ & Python) Chinese Natural Language Processing tools and examples 55 | 56 | - [Chinese-Annotator](https://github.com/crownpku/Chinese-Annotator) (Python) Annotator for Chinese Text Corpus 中文文本标注工具 57 | 58 | - [Poplar](https://github.com/synyi/poplar) (Typescript) A web-based annotation tool for natural language processing (NLP) 59 | 60 | ### Popular NLP Toolkits for English/Multi-Language 常用的英文或支持多语言的NLP工具包 61 | 62 | - [CoreNLP](https://github.com/stanfordnlp/CoreNLP) by Stanford (Java) A Java suite of core NLP tools. 63 | 64 | - [NLTK](http://www.nltk.org/) (Python) Natural Language Toolkit 65 | 66 | - [spaCy](https://spacy.io/) (Python) Industrial-Strength Natural Language Processing 67 | 68 | - [textacy](https://github.com/chartbeat-labs/textacy) (Python) NLP, before and after spaCy 69 | 70 | - [OpenNLP](https://opennlp.apache.org/) (Java) A machine learning based toolkit for the processing of natural language text. 71 | 72 | - [gensim](https://github.com/RaRe-Technologies/gensim) (Python) Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. 73 | 74 | 75 | 76 | ### Chinese Word Segment 中文分词 77 | 78 | - [Jieba 结巴中文分词](https://github.com/fxsjy/jieba) (Python及大量其它编程语言衍生) 做最好的 Python 中文分词组件 79 | 80 | - [kcws 深度学习中文分词](https://github.com/koth/kcws) (Python) BiLSTM+CRF与IDCNN+CRF 81 | 82 | - [ID-CNN-CWS](https://github.com/hankcs/ID-CNN-CWS) (Python) Iterated Dilated Convolutions for Chinese Word Segmentation 83 | 84 | - [Genius 中文分词](https://github.com/duanhongyi/genius) (Python) Genius是一个开源的python中文分词组件，采用 CRF(Conditional Random Field)条件随机场算法。 85 | 86 | - [loso 中文分词](https://github.com/fangpenlin/loso) (Python) 87 | 88 | - [yaha "哑哈"中文分词](https://github.com/jannson/yaha) (Python) 89 | 90 | - [ChineseWordSegmentation](https://github.com/Moonshile/ChineseWordSegmentation) (Python) Chinese word segmentation algorithm without corpus（无需语料库的中文分词） 91 | 92 | 93 | ### Information Extraction 信息提取 94 | 95 | - [MITIE](https://github.com/mit-nlp/MITIE) (C++) library and tools for information extraction 96 | 97 | - [Duckling](https://github.com/facebookincubator/duckling) (Haskell) Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings. 98 | 99 | - [IEPY](https://github.com/machinalis/iepy) (Python) IEPY is an open source tool for Information Extraction focused on Relation Extraction. 100 | 101 | - [Snorkel](https://github.com/HazyResearch/snorkel) A training data creation and management system focused on information extraction 102 | 103 | - [Neural Relation Extraction implemented with LSTM in TensorFlow](https://github.com/thunlp/TensorFlow-NRE) 104 | 105 | - [A neural network model for Chinese named entity recognition](https://github.com/zjy-ucas/ChineseNER) 106 | 107 | - [Information-Extraction-Chinese](https://github.com/crownpku/Information-Extraction-Chinese) Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取 108 | 109 | - [Familia](https://github.com/baidu/Familia) 百度出品的 A Toolkit for Industrial Topic Modeling 110 | 111 | - [Text Classification](https://github.com/brightmart/text_classification) All kinds of text classificaiton models and more with deep learning. 用知乎问答语聊作为测试数据。 112 | 113 | 114 | ### QA & Chatbot 问答和聊天机器人 115 | 116 | - [Rasa NLU](https://github.com/RasaHQ/rasa_nlu) (Python) turn natural language into structured data, a Chinese fork at [Rasa NLU Chi](https://github.com/crownpku/Rasa_NLU_Chi) 117 | 118 | - [Rasa Core](https://github.com/RasaHQ/rasa_core) (Python) machine learning based dialogue engine for conversational software 119 | 120 | - [Snips NLU](https://github.com/snipsco/snips-nlu) (Python) Snips NLU is a Python library that allows to parse sentences written in natural language and extracts structured information. 121 | 122 | - [DeepPavlov](https://github.com/deepmipt/DeepPavlov) (Python) An open source library for building end-to-end dialog systems and training chatbots. 123 | 124 | - [ChatScript](https://github.com/bwilcox-1234/ChatScript) Natural Language tool/dialog manager, a rule-based chatbot engine. 125 | 126 | - [Chatterbot](https://github.com/gunthercox/ChatterBot) (Python) ChatterBot is a machine learning, conversational dialog engine for creating chat bots. 127 | 128 | - [Chatbot](https://github.com/zake7749/Chatbot) (Python) 基於向量匹配的情境式聊天機器人 129 | 130 | - [Tipask](https://github.com/sdfsky/tipask) (PHP) 一款开放源码的PHP问答系统，基于Laravel框架开发，容易扩展，具有强大的负载能力和稳定性。 131 | 132 | - [QuestionAnsweringSystem](https://github.com/ysc/QuestionAnsweringSystem) (Java) 一个Java实现的人机问答系统，能够自动分析问题并给出候选答案。 133 | 134 | - [QA-Snake](https://github.com/SnakeHacker/QA-Snake) (Python) 基于多搜索引擎和深度学习技术的自动问答 135 | 136 | - [使用TensorFlow实现的Sequence to Sequence的聊天机器人模型](https://github.com/qhduan/Seq2Seq_Chatbot_QA) (Python) 137 | 138 | - [使用深度学习算法实现的中文阅读理解问答系统](https://github.com/S-H-Y-GitHub/QA) (Python) 139 | 140 | - [DuReader中文阅读理解Baseline代码](https://github.com/baidu/DuReader) (Python) 141 | 142 | - [基于SmartQQ的自动机器人框架](https://github.com/Yinzo/SmartQQBot) (Python) 143 | 144 |
145 |
146 | 147 | ## Corpus 中文语料 148 | 149 | - [开放知识图谱OpenKG.cn](http://openkg.cn) 150 | 151 | - [开放中文知识图谱的schema](https://github.com/cnschema/cnschema) 152 | 153 | - [大规模中文概念图谱CN-Probase](http://kw.fudan.edu.cn/cnprobase/search/) [公众号介绍](https://mp.weixin.qq.com/s?__biz=MzI0MTI1Nzk1MA==&mid=2651675884&idx=1&sn=1a43a93fd5bb53c8a9e48518bfa41db8&chksm=f2f7a05dc580294b227332b1051bfa2e5c756c72efb4d102c83613185b571ac31343720a6eae&mpshare=1&scene=1&srcid=1113llNDS1MvoadhCki83ERW#rd) 154 | 155 | - [农业知识图谱](https://github.com/qq547276542/Agriculture_KnowledgeGraph) 农业领域的信息检索，命名实体识别，关系抽取，分类树构建，数据挖掘 156 | 157 | - [CLDC中文语言资源联盟](http://www.chineseldc.org/) 158 | 159 | - [中文 Wikipedia Dump](https://dumps.wikimedia.org/zhwiki/) 160 | 161 | - [98年人民日报词性标注库@百度盘](https://pan.baidu.com/s/1gd6mslt) 162 | 163 | - [搜狗20061127新闻语料(包含分类)@百度盘](https://pan.baidu.com/s/1bnhXX6Z) 164 | 165 | - [UDChinese](https://github.com/UniversalDependencies/UD_Chinese) (for training spaCy POS) 166 | 167 | - [中文word2vec模型](https://github.com/to-shimo/chinese-word2vec) 168 | 169 | - [上百种预训练中文词向量](https://github.com/Embedding/Chinese-Word-Vectors) 170 | 171 | - [Synonyms:中文近义词工具包](https://github.com/huyingxi/Synonyms/) 基于维基百科中文和word2vec训练的近义词库，封装为python包文件。 172 | 173 | - [Chinese_conversation_sentiment](https://github.com/z17176/Chinese_conversation_sentiment) A Chinese sentiment dataset may be useful for sentiment analysis. 174 | 175 | - [中文突发事件语料库](https://github.com/shijiebei2009/CEC-Corpus) Chinese Emergency Corpus 176 | 177 | - [dgk_lost_conv 中文对白语料](https://github.com/rustch3n/dgk_lost_conv) chinese conversation corpus 178 | 179 | - [用于训练中英文对话系统的语料库](https://github.com/candlewill/Dialog_Corpus) Datasets for Training Chatbot System 180 | 181 | - [八卦版問答中文語料](https://github.com/zake7749/Gossiping-Chinese-Corpus) 182 | 183 | - [中国股市公告信息爬取](https://github.com/startprogress/China_stock_announcement) 通过python脚本从巨潮网络的服务器获取中国股市（sz,sh）的公告(上市公司和监管机构) 184 | 185 | - [tushare财经数据接口](http://tushare.org/) TuShare是一个免费、开源的python财经数据接口包。 186 | 187 | - [保险行业语料库](https://github.com/Samurais/insuranceqa-corpus-zh) [[52nlp介绍Blog](http://www.52nlp.cn/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E4%BF%9D%E9%99%A9%E8%A1%8C%E4%B8%9A%E9%97%AE%E7%AD%94%E5%BC%80%E6%94%BE%E6%95%B0%E6%8D%AE%E9%9B%86)] OpenData in insurance area for Machine Learning Tasks 188 | 189 | - [最全中华古诗词数据库](https://github.com/chinese-poetry/chinese-poetry) 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。 190 | 191 | - [DuReader中文阅读理解数据](http://ai.baidu.com/broad/subordinate?dataset=dureader) 192 | 193 | - [中文语料小数据](https://github.com/crownpku/Small-Chinese-Corpus) 包含了中文命名实体识别、中文关系识别、中文阅读理解等一些小量数据 194 | 195 | - [中文人名语料库](https://github.com/wainshine/Chinese-Names-Corpus) 中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。 196 | 197 | - [中文敏感词词库](https://github.com/observerss/textfilter) 敏感词过滤的几种实现+某1w词敏感词库 198 | 199 | - [中文简称词库](https://github.com/zhangyics/Chinese-abbreviation-dataset) A corpus of Chinese abbreviation, including negative full forms. 200 | 201 | - [中文数据预处理材料](https://github.com/dongxiexidian/Chinese) 中文分词词典和中文停用词 202 | 203 | - [漢語拆字字典](https://github.com/kfcd/chaizi) 204 | 205 | - [SentiBridge: 中文实体情感知识库](https://github.com/rainarch/SentiBridge) 刻画人们如何描述某个实体，包含新闻、旅游、餐饮，共计30万对。 206 | 207 | - [OpenCorpus](https://github.com/hankcs/OpenCorpus) A collection of freely available (Chinese) corpora. 208 | 209 |
210 |
211 | 212 | ## Organizations 中文NLP学术组织及竞赛 213 | 214 | - [清华大学自然语言处理与人文计算实验室](http://nlp.csai.tsinghua.edu.cn/site2/index.php/zh) 215 | 216 | - [北京大学计算语言学教育部重点实验室](http://klcl.pku.edu.cn/) 217 | 218 | - [中科院计算所自然语言处理研究组](http://www.nlpir.org/) 219 | 220 | - [哈工大智能技术与自然语言处理实验室](http://insun.hit.edu.cn/) 221 | 222 | - [复旦大学自然语言处理组](http://nlp.fudan.edu.cn/) 223 | 224 | - [苏州大学自然语言处理组](http://nlp.suda.edu.cn/index.html) 225 | 226 | - [南京大学自然语言处理研究组](http://nlp.nju.edu.cn) 227 | 228 | - [东北大学自然语言处理实验室](http://www.nlplab.com/) 229 | 230 | - [厦门大学智能科学与技术系自然语言处理实验室](http://nlp.xmu.edu.cn/) 231 | 232 | - [郑州大学自然语言处理实验室](http://nlp.zzu.edu.cn/) 233 | 234 | - [微软亚洲研究院自然语言处理](https://www.msra.cn/zh-cn/research/nlp) 235 | 236 | - [华为诺亚方舟实验室](http://www.noahlab.com.hk/) 237 | 238 | - [CUHK Text Mining Group](http://www1.se.cuhk.edu.hk/~textmine/) 239 | 240 | - [PolyU Social Media Mining Group](http://www4.comp.polyu.edu.hk/~cswjli/Group.html) 241 | 242 | - [HKUST Human Language Technology Center](http://www.cse.ust.hk/~hltc/) 243 | 244 | - [National Taiwan University NLP Lab](http://nlg.csie.ntu.edu.tw/) 245 | 246 | - [中国中文信息学会](http://www.cipsc.org.cn/) 247 | 248 | - [NLP Conference Calender](http://cs.rochester.edu/~omidb/nlpcalendar/) Main conferences, journals, workshops and shared tasks in NLP community. 249 | 250 | - [2017 第一届“讯飞杯”中文机器阅读理解评测](http://www.cips-cl.org/static/CCL2017/iflytek.html) 251 | 252 | - [2017 AI-Challenger 图像中文描述](https://www.challenger.ai/competition/caption) 用一句话描述给定图像中的主要信息，挑战中文语境下的图像理解问题。 253 | 254 | - [2017 AI-Challenger 英中机器文本翻译](https://www.challenger.ai/competition/translation) 用大规模的数据，提升英中文本机器翻译模型的能力。 255 | 256 | - [2017 知乎看山杯机器学习挑战赛](https://biendata.com/competition/zhihu/) 根据知乎给出的问题及话题标签的绑定关系的训练数据，训练出对未标注数据自动标注的模型。 257 | 258 | - [2018 开放领域的中文问答任务](https://biendata.com/competition/CCKS2018_4/) 对于给定的一句中文问题，问答系统从给定知识库中选择若干实体或属性值作为该问题的答案。 259 | 260 | - [2018 微众银行智能客服问句匹配大赛](https://biendata.com/competition/CCKS2018_3/) 针对中文的真实客服语料，进行问句意图匹配；给定两个语句，判定两者意图是否相近。 261 | 262 |
263 |
264 | 265 | ## Industry 中文NLP商业服务 266 | 267 | - [百度云NLP](https://cloud.baidu.com/product/nlp.html) 提供业界领先的自然语言处理技术，提供优质文本处理及理解技术 268 | 269 | - [阿里云NLP](https://data.aliyun.com/product/nlp) 为各类企业及开发者提供的用于文本分析及挖掘的核心工具 270 | 271 | - [腾讯云NLP](https://cloud.tencent.com/product/nlp) 基于并行计算、分布式爬虫系统，结合独特的语义分析技术，一站满足NLP、转码、抽取、数据抓取等需求 272 | 273 | - [讯飞开放平台](https://www.xfyun.cn/) 以语音交互为核心的人工智能开放平台 274 | 275 | - [搜狗实验室](http://www.sogou.com/labs/webservice/) 分词和词性标注 276 | 277 | - [玻森数据](http://bosonnlp.com/) 上海玻森数据科技有限公司，专注中文语义分析技术 278 | 279 | - [云孚科技](https://www.yunfutech.com/) NLP工具包、知识图谱、文本挖掘、对话系统、舆情分析等 280 | 281 | - [智言科技](http://www.webot.ai) 专注于深度学习和知识图谱技术突破的人工智能公司 282 | 283 | - [追一科技](https://zhuiyi.ai/) 主攻深度学习和自然语言处理 284 | 285 |
286 |
287 | 288 | ## Learning Materials 学习资料 289 | 290 | - [中文Deep Learning Book](https://github.com/exacity/deeplearningbook-chinese) 291 | 292 | - [Stanford CS224n Natural Language Processing with Deep Learning 2017](http://web.stanford.edu/class/cs224n/syllabus.html) 293 | 294 | - [Oxford CS DeepNLP 2017](https://github.com/oxford-cs-deepnlp-2017) 295 | 296 | - [Speech and Language Processing](https://web.stanford.edu/~jurafsky/slp3/) by Dan Jurafsky and James H. Martin 297 | 298 | - [52nlp 我爱自然语言处理](http://www.52nlp.cn/) 299 | 300 | - [hankcs 码农场](http://www.hankcs.com/) 301 | 302 | - [文本处理实践课资料](https://github.com/Roshanson/TextInfoExp) 文本处理实践课资料，包含文本特征提取（TF-IDF），文本分类，文本聚类，word2vec训练词向量及同义词词林中文词语相似度计算、文档自动摘要，信息抽取，情感分析与观点挖掘等实验。 303 | 304 | - [nlp_tasks](https://github.com/Kyubyong/nlp_tasks) Natural Language Processing Tasks and Selected References 305 | 306 | --------------------------------------------------------------------------------