自然语言处理领域重要论文&资源全索引

自然语言处理（NLP）是人工智能研究中极具挑战的一个分支。随着深度学习等技术的引入，NLP 领域正在以前所未有的速度向前发展。但对于初学者来说，这一领域目前有哪些研究和资源是必读的？最近，Kyubyong Park 为我们整理了一份完整列表。   GitHub 项目链接：http://ift.tt/2yfj72h   本人从事自然语言处理任务（NLP）的研究已经有很长时间了，有一天我想到，我需要为庞大的 NLP 领域做一个概览，我知道自己肯定不是想要一睹 NLP 任务的全貌的第一个人。   我曾竭尽所能的研究过尽可能多种类型的 NLP 任务，但由于个人知识的局限，我承认还远远没有穷尽整个领域。目前，该项目选取的参考文献都偏重最新的深度学习研究成果。我希望这些能为想要深入钻研一个 NLP 任务的人们提供一个开端。这个项目将持续更新，不过，我更希望与更多人合作。如果你有意愿的话，欢迎对这个项目作出贡献。   回指解析   See Coreference Resolution （http://ift.tt/2xEDQrO   自动作文评分   论文：AutomaticText Scoring Using Neural Networks （http://ift.tt/2yn06Kp 论文：ANeural Approach to Automated Essay Scoring （http://ift.tt/2xFfmPm 竞赛：Kaggle:The Hewlett Foundation: Automated Essay Scoring （http://ift.tt/2ynjS8y 项目：EnhancedAI Scoring Engine（http://ift.tt/2xErpMN   自动语音识别   WIKI Speech recognition（http://ift.tt/2ymCJ3E 论文：DeepSpeech 2: End-to-End Speech Recognition in English and Mandarin （http://ift.tt/2xEEjdF 论文：WaveNet:A Generative Model for Raw Audio （http://ift.tt/2ynlFL9 项目：A TensorFlow implementation of Baidu's DeepSpeech architecture （http://ift.tt/2xFflLi 项目：Speech-to-Text-WaveNet: End-to-end sentence level English speech recognition using DeepMind's WaveNet（http://ift.tt/2ynanGK 竞赛：The 5thCHiME Speech Separation and Recognition Challenge （http://ift.tt/2xERcEC 资源：The 5thCHiME Speech Separation and Recognition Challenge （http://ift.tt/2ynUsrD 资源：CSTRVCTK Corpus （http://ift.tt/2xEEkhJ 资源：LibriSpeechASR corpus （http://ift.tt/2ynl4ZM 资源：Switchboard-1Telephone Speech Corpus （http://ift.tt/2xEe7ju 资源：TED-LIUMCorpus （http://ift.tt/2ynapym   自动摘要   WIKI Automatic summarization （http://ift.tt/2xEMuqr 书籍：AutomaticText Summarization （http://ift.tt/2ynqUKQ 论文：TextSummarization Using Neural Networks （http://ift.tt/2xEy9KM 论文：Rankingwith Recursive Neural Networks and Its Application to Multi-DocumentSummarization （http://ift.tt/2ynjU0a 资源：TextAnalytics Conferences（TAC）（http://ift.tt/2xEMtmn 资源：DocumentUnderstanding Conferences （DUC）（http://ift.tt/2ynjSWt   指代消解   INFO Coreference Resolution（http://ift.tt/2xEwiWd 论文：DeepReinforcement Learning for Mention-Ranking Coreference Models （http://ift.tt/2ymMwa0 论文：ImprovingCoreference Resolution by Learning Entity-Level Distributed Representations（http://ift.tt/2xERdIG 竞赛：CoNLL2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes（http://ift.tt/2yn47OV 竞赛：CoNLL2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes （http://ift.tt/2xEJM42   实体链接   见「命名实体消歧」部分   语法错误纠正   论文：NeuralNetwork Translation Models for Grammatical Error Correction （http://ift.tt/2ynqT9K 竞赛：CoNLL-2013Shared Task: Grammatical Error Correction （http://ift.tt/2xErLCX 竞赛：CoNLL-2014Shared Task: Grammatical Error Correction （http://ift.tt/2yn5UDK 资源：NUSNon-commercial research/trial corpus license （http://ift.tt/2xEDvFT 资源：Lang-8Learner Corpora（http://ift.tt/2ynj7fG 资源：CornellMovie--Dialogs Corpus （http://ift.tt/2xEfvT4 项目：DeepText Corrector（http://ift.tt/2ynlG1F 产品：deepgrammar（http://ift.tt/2xEwgxo   字素音素转换   论文：Grapheme-to-PhonemeModels for （Almost） Any Language （http://ift.tt/2ymCJka 论文：PolyglotNeural Language Models: A Case Study in Cross-Lingual Phonetic RepresentationLearning （http://ift.tt/2xEJLgu 论文：MultitaskSequence-to-Sequence Models for Grapheme-to-Phoneme Conversion （http://ift.tt/2ymRkfq 项目：Sequence-to-Sequence G2P toolkit （http://ift.tt/2xEx9pX 资源：Multilingual Pronunciation Data （http://ift.tt/2ynfQNA   语种猜测   见「语种辨别」部分   语种辨别   WIKI Language identification （http://ift.tt/2xEfwX8 论文：AUTOMATICLANGUAGE IDENTIFICATION USING DEEP NEURAL NETWORKS （http://ift.tt/2ynhO0r 竞赛： 2015Language Recognition Evaluation （http://ift.tt/2xEPfYB   语言建模   WIKI Language model （http://ift.tt/2ymMxL6 工具包： KenLMLanguage Model Toolkit （http://ift.tt/2xEe7A0 论文：DistributedRepresentations of Words and Phrases and their Compositionality （http://ift.tt/2ynkpaM 论文：Character-AwareNeural Language Models （http://ift.tt/2xEMtCT 资源： PennTreebank （http://ift.tt/2ymCLbM   语种识别   见「语种辨别」部分   同一词类   WIKI Lemmatisation （http://ift.tt/2xEcjHg 论文： JointLemmatization and Morphological Tagging with LEMMING （http://ift.tt/2ynkqLS 工具包：WordNet Lemmatizer （http://ift.tt/2xErrnT 资源：Treebank-3 （http://ift.tt/2ynl6AS   观唇辨意   WIKI Lip reading （http://ift.tt/2xEQ0Rz 论文：LipReading Sentences in the Wild （http://ift.tt/2ynfLcK 论文：3DConvolutional Neural Networks for Cross Audio-Visual Matching Recognition （http://ift.tt/2xEwjcJ 项目： LipReading - Cross Audio-Visual Recognition using 3D Convolutional Neural Networks（http://ift.tt/2ymTY4Z 资源： TheGRID audiovisual sentence corpus （http://ift.tt/2xEPZNv   机器翻译   论文：NeuralMachine Translation by Jointly Learning to Align and Translate （http://ift.tt/2ynlHTh 论文：NeuralMachine Translation in Linear Time （http://ift.tt/2xEEQfB 论文：AttentionIs All You Need （http://ift.tt/2sUoTUo 竞赛： ACL2014 NINTH WORKSHOP ON STATISTICAL MACHINE TRANSLATION （http://ift.tt/2ynaq5o 竞赛： EMNLP2017 SECOND CONFERENCE ON MACHINE TRANSLATION （WMT17）（http://ift.tt/2xEH52A 资源：OpenSubtitles2016 （http://ift.tt/2ynj9nO 资源： WIT3:Web Inventory of Transcribed and Translated Talks （https://wit3.fbk.eu/） 资源： TheQCRI Educational Domain （QED） Corpus （http://ift.tt/2xEsGU0   生成词法变化   WIKI Inflection （http://ift.tt/2ynj7wc 论文：MorphologicalInflection Generation Using Character Sequence to Sequence Learning （http://ift.tt/2xEqKe4 竞赛：SIGMORPHON 2016 Shared Task: Morphological Reinflection （http://ift.tt/2ynnmrR 资源：sigmorphon2016 （http://ift.tt/2xErqjP   命名实体消歧   WIKI Entity linking （http://ift.tt/2ynbF4w 论文：Robustand Collective Entity Disambiguation through Semantic Embeddings （http://ift.tt/2xEwkgN   命名实体识别   WIKI Named-entity recognition （http://ift.tt/2ynlKhV 论文：NeuralArchitectures for Named Entity Recognition （http://ift.tt/2xEgKSr 项目： OSUTwitter NLP Tools （http://ift.tt/2ynfR46 竞赛： NamedEntity Recognition in Twitter （http://ift.tt/2xErqAl 竞赛： CoNLL2002 Language-Independent Named Entity Recognition （http://ift.tt/2ymMy1C 竞赛：Introduction to the CoNLL-2003 Shared Task: Language-Independent Named EntityRecognition （http://ift.tt/2xEDPUM 资源：CoNLL-2002 NER corpus （http://ift.tt/2yn3JAf 资源：CoNLL-2003 NER corpus （http://ift.tt/2xEqLi8 资源： NUTNamed Entity Recognition in Twitter Shared task （http://ift.tt/2ynksU0   释义检测   论文：DynamicPooling and Unfolding Recursive Autoencoders for Paraphrase Detection （http://ift.tt/2xEaJ8f 项目：Paralex: Paraphrase-Driven Learning for Open Question Answering （http://ift.tt/2yno0FT 资源：Microsoft Research Paraphrase Corpus （http://ift.tt/2xErSi6 资源：Microsoft Research Video Description Corpus （http://ift.tt/2yn0993 资源： PascalDataset （http://ift.tt/2xEcMsJ 资源：Flicker Dataset （http://ift.tt/2ymCLsi 资源： TheSICK data set （http://ift.tt/2xErrEp 资源： PPDB:The Paraphrase Database （http://ift.tt/2ynl6Ro 资源：WikiAnswers Paraphrase Corpus （http://ift.tt/2xEEQw7   语法分析   WIKI Parsing （http://ift.tt/2ymCNjU 工具包： TheStanford Parser: A statistical parser （http://ift.tt/2xEH5j6 工具包： spaCyparser （http://ift.tt/2ynjUxc 论文：A fastand accurate dependency parser using neural networks （http://ift.tt/2xEJLx0 竞赛： CoNLL2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies （http://ift.tt/2ynjTtv 竞赛： CoNLL2016 Shared Task: Multilingual Shallow Discourse Parsing （http://ift.tt/2xEsIeA 竞赛： CoNLL2015 Shared Task: Shallow Discourse Parsing （http://ift.tt/2ynnkjB 竞赛：SemEval-2016 Task 8: The meaning representations may be abstract, but this taskis concrete! （http://ift.tt/2xEgK4T   词性标记   WIKI Part-of-speech tagging （http://ift.tt/2yneGSd 论文：MultilingualPart-of-Speech Tagging with Bidirectional Long Short-Term Memory Models andAuxiliary Loss （http://ift.tt/2xERdbE 论文：UnsupervisedPart-Of-Speech Tagging with Anchor Hidden Markov Models （http://ift.tt/2yn5YU0 资源：Treebank-3 （http://ift.tt/2ynl6AS 工具包：nltk.tag package （http://ift.tt/2xEwkxj   拼音-中文转换   论文：NeuralNetwork Language Model for Chinese Pinyin Input Method Engine （http://ift.tt/2ynfSVI 项目： NeuralChinese Transliterator （http://ift.tt/2xEgL8X   问答系统   WIKI Question answering （http://ift.tt/2ynovjc 论文：Ask MeAnything: Dynamic Memory Networks for Natural Language Processing （http://ift.tt/2xEx9Gt 论文：DynamicMemory Networks for Visual and Textual Question Answering （http://ift.tt/2ynbFl2 竞赛： TRECQuestion Answering Task （http://ift.tt/2xEyahO 竞赛：NTCIR-8: Advanced Cross-lingual Information Access （ACLIA）（http://ift.tt/2ynniIv 竞赛： CLEFQuestion Answering Track （http://ift.tt/2xEqKuA 竞赛：SemEval-2017 Task 3: Community Question Answering （http://ift.tt/2ynhQp5 资源： MSMARCO: Microsoft MAchine Reading COmprehension Dataset （http://ift.tt/2xErM9Z 资源：Maluuba NewsQA （http://ift.tt/2ynhRt9 资源： SQuAD:100,000+ Questions for Machine Comprehension of Text （http://ift.tt/2xExaKx 资源：GraphQuestions: A Characteristic-rich Question Answering Dataset （http://ift.tt/2ynhS0b 资源： StoryCloze Test and ROCStories Corpora （http://ift.tt/2xEe9b6 资源：Microsoft Research WikiQA Corpus （http://ift.tt/2ynfTsK 资源：DeepMind Q&A Dataset （http://ift.tt/2xEckei 资源： QASent（http://ift.tt/2ynfTZM   关系提取   WIKI Relationship extraction （http://ift.tt/2xEPgvD 论文：A deeplearning approach for relationship extraction from interaction context insocial manufacturing paradigm （http://ift.tt/2ynhSxd   语义角色标注   WIKI Semantic role labeling （http://ift.tt/2xEPhzH 书籍：Semantic Role Labeling （http://ift.tt/2ynhT4f 论文：End-to-endLearning of Semantic Role Labeling Using Recurrent Neural Networks （http://ift.tt/2xEe872 论文：NeuralSemantic Role Labeling with Dependency Path Embeddi ngs （http://ift.tt/2ynfUwO 竞赛：CoNLL-2005 Shared Task: Semantic Role Labeling （http://ift.tt/2xFfnCU 竞赛：CoNLL-2004 Shared Task: Semantic Role Labeling （http://ift.tt/2ynhU8j 工具包：Illinois Semantic Role Labeler （SRL）（http://ift.tt/2xEEl5h 资源：CoNLL-2005 Shared Task: Semantic Role Labeling （http://ift.tt/2ynfV3Q   语句边界消歧   WIKI Sentence boundary disambiguation （http://ift.tt/2xEDRfm 论文：AQuantitative and Qualitative Evaluation of Sentence Boundary Detection for theClinical Domain （http://ift.tt/2ynhUFl 工具包： NLTKTokenizers （http://ift.tt/2xEgLpt 资源： TheBritish National Corpus （http://ift.tt/2ynfVAS 资源：Switchboard-1 Telephone Speech Corpus （http://ift.tt/2xEe7ju   情绪分析   WIKI Sentiment analysis （http://ift.tt/2xEEPIz INFO Awesome Sentiment Analysis （http://ift.tt/2ynfW7U 竞赛：Kaggle: UMICH SI650 - Sentiment Classification （http://ift.tt/2xEe9rC 竞赛：SemEval-2017 Task 4: Sentiment Analysis in Twitter （http://ift.tt/2ynfWEW 竞赛：SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogsand News （http://ift.tt/2xErSP8 项目：SenticNet （http://ift.tt/2ynhVcn 资源：Multi-Domain Sentiment Dataset （version2.0）（http://ift.tt/2xEgKlp 资源：Stanford Sentiment Treebank （http://ift.tt/2ynhVJp 资源：Twitter Sentiment Corpus （http://ift.tt/2xEckuO 资源：Twitter Sentiment Analysis Training Corpus （http://ift.tt/2ynhWgr 资源： AFINN:List of English words rated for valence （http://ift.tt/2xEwjJL   源分离   WIKI Source separation （http://ift.tt/2ynfXbY 论文：FromBlind to Guided Audio Source Separation （http://ift.tt/2xEsHr2 论文：JointOptimization of Masks and Deep Recurrent Neural Networks for Monaural SourceSeparation （http://ift.tt/2ynl77U 竞赛： SignalSeparation Evaluation Campaign （SiSEC）（http://ift.tt/2xEcMZL 竞赛： CHiMESpeech Separation and Recognition Challenge （http://ift.tt/2xERcEC   说话人认证   见「说话人识别」部分   语音身份分离   WIKI Speaker diarisation （http://ift.tt/2ynfXJ0 论文：DNN-basedspeaker clustering for speaker diarisation （http://ift.tt/2xEwkNP 论文：UnsupervisedMethods for Speaker Diarization: An Integrated and Iterative Approach （http://ift.tt/2ynUv6N 论文：Audio-VisualSpeaker Diarization Based on Spatiotemporal Bayesian Fusion （http://ift.tt/2xEyayk 竞赛： RichTranscription Evaluation （http://ift.tt/2yneH8J   说话人识别   WIKI Speaker recognition （http://ift.tt/2xEQ1F7 论文：A NOVELSCHEME FOR SPEAKER RECOGNITION USING A PHONETICALLY-AWARE DEEP NEURAL NETWORK （http://ift.tt/2ynfYN4 论文：DEEPNEURAL NETWORKS FOR SMALL FOOTPRINT TEXT-DEPENDENT SPEAKER VERIFICATION （http://ift.tt/2xEfxKG 竞赛： NISTSpeaker Recognition Evaluation （SRE）（http://ift.tt/2ynj9UQ INFO Are there any suggestions for free databases for speakerrecognition? （http://ift.tt/2xEPgM9   唇读   见「观唇辨意」部分   语音识别   见「自动语音识别」部分   语音分割   WIKI Speech_segmentation （http://ift.tt/2ynovzI 论文：WordSegmentation by 8-Month-Olds: When Speech Cues Count More Than Statistics （http://ift.tt/2xFfnTq 论文：UnsupervisedWord Segmentation and Lexicon Discovery Using Acoustic Word Embeddings （http://ift.tt/2ynkriU 论文：UnsupervisedLexicon Discovery from Acoustic Inpu （http://ift.tt/2xEJMRA 论文：Weaklysupervised spoken term discovery using cross-lingual side information （http://ift.tt/2yn5XiU 资源：CALLHOME Spanish Speech （http://ift.tt/2xEclyS   语音合成   WIKI Speech synthesis （http://ift.tt/2ynktaw 论文：WaveNet:A Generative Model for Raw Audio （http://ift.tt/2ynlFL9 论文：Tacotron:Towards End-to-End Speech Synthesis （http://ift.tt/2xEaKJl 论文：DeepVoice 2: Multi-Speaker Neural Text-to-Speech （http://ift.tt/2ynqXX2 资源： TheWorld English Bible （http://ift.tt/2xEcO3P 资源： LJSpeech Dataset （http://ift.tt/2ynnl7h 资源： LessacData （http://ift.tt/2xEDRvS 竞赛：Blizzard Challenge 2017 （http://ift.tt/2ymRmE4 PRODUCT Lyrebird （https://lyrebird.ai/） 项目： TheFestvox project （http://ift.tt/2xEQ2Jb 工具包：Merlin: The Neural Network （NN） based Speech Synthesis System （http://ift.tt/2ynbHcE   语音增强   WIKI Speech enhancement （http://ift.tt/2xEDxxv 书籍： Speechenhancement: theory and practice （http://ift.tt/2ynjUNI 论文 AnExperimental Study on Speech Enhancement BasedonDeepNeuralNetwork （http://ift.tt/2xEEllN 论文： ARegression Approach to Speech Enhancement BasedonDeepNeuralNetworks （http://ift.tt/2ynasu2 论文： SpeechEnhancement Based on Deep Denoising Autoencoder （http://ift.tt/2xEReMK   语音文本转换   见「自动语音识别」部分   口语的术语检测   见「语音分割」部分   词干提取   WIKI Stemming （http://ift.tt/2ymMyyE 论文： ABACKPROPAGATION NEURAL NETWORK TO IMPROVE ARABIC STEMMING （http://ift.tt/2xEckLk 工具包： NLTKStemmers （http://ift.tt/2ymCNAq   术语提取   WIKI Terminology extraction （http://ift.tt/2xEsILC 论文： NeuralAttention Models for Sequence Classification: Analysis and Application to KeyTerm Extraction and Dialogue Act Detection （http://ift.tt/2ynUvnj   文本简化   WIKI Text simplification （http://ift.tt/2xFfoXu 论文：Aligning Sentences from Standard Wikipedia to Simple Wikipedia （http://ift.tt/2ynqWlW 论文：Problems in Current Text Simplification Research: New Data Can Help （http://ift.tt/2xErNuz 资源：Newsela Data （http://ift.tt/2ynhYoz   文本语音转换   见「语音合成」部分   文本蕴涵   WIKI Textual entailment （http://ift.tt/2xEwl4l 项目：Textual Entailment with TensorFlow （http://ift.tt/2ynj8jK 论文：Textual Entailment with Structured Attentions and Composition （http://ift.tt/2xEES7d 竞赛：SemEval-2014 Task 1: Evaluation of compositional distributional semantic modelson full sentences through semantic relatedness and textual entailment （http://ift.tt/2ynnkA7 竞赛：SemEval-2013 Task 7: The Joint Student Response Analysis and 8th RecognizingTextual Entailment Challenge （http://ift.tt/2xEDSzW   声音转换   论文：PHONETIC POSTERIORGRAMS FOR MANY-TO-ONE VOICE CONVERSION WITHOUT PARALLEL DATATRAINING （http://ift.tt/2ynqYdy 项目： Animplementation of voice conversion system utilizing phonetic posteriorgrams （http://ift.tt/2xExbhz 竞赛： VoiceConversion Challenge 2016 （http://ift.tt/2ynjabm 竞赛： VoiceConversion Challenge 2018 （http://ift.tt/2xEEmpR 资源：CMU_ARCTIC speech synthesis databases （http://ift.tt/2ymyPYv 资源： TIMITAcoustic-Phonetic Continuous Speech Corpus （http://ift.tt/2xEPinf   声音识别   见「说话人识别」部分   词嵌入   WIKI Word embedding （http://ift.tt/2ynkrzq 工具包：Gensim: word2vec （http://ift.tt/2xEycWY 工具包：fastText （http://ift.tt/2ynnXtH 工具包： GloVe:Global Vectors for Word Representation （http://ift.tt/2xEwhBs INFO Where to get a pretrained model （http://ift.tt/2ynktr2 项目：Pre-trained word vectors of 30+ languages （http://ift.tt/2xEMvL1 项目：Polyglot: Distributed word representations for multilingual NLP （http://ift.tt/2ynbHta   词预测   INFO What is Word Prediction? （http://ift.tt/2xEeaMc 论文： Theprediction of character based on recurrent neural network language model （http://ift.tt/2ynnYxL 论文： AnEmbedded Deep Learning based Word Prediction （http://ift.tt/2xEJN86 论文：Evaluating Word Prediction: Framing Keystroke Savings （http://ift.tt/2ynnZ4N 资源： AnEmbedded Deep Learning based Word Prediction （http://ift.tt/2xEH66E 项目： WordPrediction using Convolutional Neural Networks—can you do better than iPhone™Keyboard? （http://ift.tt/2ynl9g2   词分割   WIKI Word segmentation （http://ift.tt/2xEebQg 论文： NeuralWord Segmentation Learning for Chinese （http://ift.tt/2yn5Zr2 项目：Convolutional neural network for Chinese word segmentation （http://ift.tt/2xEecDO 工具包：Stanford Word Segmenter （http://ift.tt/2ymTX0V 工具包： NLTKTokenizers （http://ift.tt/2xEgLpt   词义消歧   资源：Word-sense disambiguation （http://ift.tt/2xEDxO1 论文：Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in MultipleLanguages without Manual Training Data （http://ift.tt/2ymTYC1 资源：Train-O-Matic Data （http://ift.tt/2xEElCj 资源：BabelNet （http://babelnet.org/） ]]> 原文： http://ift.tt/2ynjUh3 机器知心