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ACL17
ACL17
 
 
Embedding
Embedding
 
 
Informaiton Extraction and Text Mining
Informaiton Extraction and Text Mining
 
 
Multilinguality
Multilinguality
 
 
Phonology Morphology and Word Segment
Phonology Morphology and Word Segment
 
 
Sentence-level Semantics
Sentence-level Semantics
 
 
Summerization
Summerization
 
 
Tagging Chunking Syntax and Parsing
Tagging Chunking Syntax and Parsing
 
 
Contributors.md
Contributors.md
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
_config.yml
_config.yml
 
 

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Natural Language Procesing

This repository includes basic concepts of Natural Language Processing, textbooks and blogs of good reputation, popular papers and so on.

This is also the Natural Language Processing part of Machine Learning Resources created by a group of people including jindongwang.

Contributors are welcomed to work together and make it BETTER!

Resource of Textbooks and Lectures

Mathemetical and Statistical Foundation

  • Linear Algebra

    • 18.06 MIT(Gilbert Strang)[pdf][video]
  • Matrix Analysis

  • Convex Optimization

    • EE364A Stanford(Stephen Boyd)[pdf][website]
    • Introductory Lectures on Convex Programming(Yu.Nesterov)[pdf]

Machine Learning

  • The Elements of Statistical Learning(ESL) - HTF
  • CS228 Probabilistic Graphical Model - Stanford
  • 10708 Probabilistic Graphical Model - CMU

Deep Learning

  • Deep Learning - Ian Goodfellow, Yoshua Bengio, Aaron Courville
  • CS231n Convolutional Neural Networks for Visual Recognition - Stanford

Natural Language Processing

  • Foundations of Statistical Natural Language Processing - Chris Manning
  • Speech and Language Processing - Daniel Jurafsky and James H. Martin
  • 统计学习方法 - 李航
  • Advanced Natural Language Processing - MIT
  • CS 224n Natural Language Processing with Deep Learning - Stanford
  • Deep Learning for NLP at Oxford with Deepmind - Oxford
  • 11-747 NN4NLP
  • 11-737 Multilingual NLP
  • Some Knowledge about Machine Learning
  • A list of datasets

Models and Applications

  • Probalistic Graphical Model

    • Hidden Markov Model
    • Conditional Random Fields
  • Topic Model

    • Latent Dirichlet Allocation(paper)
  • Deep Learning Model

    • Long Short Term Memory(LSTM) Sepp Hochreiter, 1997
      • Interpretation Omer Levy, UWashington, 2018
    • Recurrent Neuron Network - Seq2Seq(Tensorflow Tutorial) - Machine Translation Tensorflow implement
    • Convolutional Neuron Network
    • Attention Model
    • Overview(Chinese)
    • Generative Adversial Network(GAN)
    • Transformer
    • Training Tips
    • Bidirectional Encoder Representation from Transformers(BERT) Jacob Devlin, Google 2018

Blog and Tutorials

  • Tensorflow implement on RNN and undocumented features
  • The Unreasonable Effectiveness of Recurrent Neural Networks

Topics and Tasks

Category of areas is based on tracks in ACL 2018, ACL 2020, EMNLP 2020

Summerization

  • Task
    • Summerization
    • Opinion Summarization
    • Evaluation
  • Model
    • Extractive
    • Generative
      • PointNet, ACL2017
      • BART, ACL2020
      • Pegasus, ICML2020
    • Hybrid
  • Dataset
    • XSum, EMNLP2018 [paper]
    • CNN/DailyMail
    • NEWSROOM
    • Multi-News
    • Gigaword
    • arXiv
    • PubMed
    • BIGPATENT
    • WikiHow
    • Reddit TIFU (long, short)
    • AESLC
    • BillSum

Embedding

  • Model
    • Word2Vec
  • Pre-trained Embedding
    • Glove
    • word2vec
    • FastText
  • Contextual Word Embedding
    • ELMo
    • GPT
    • BERT
    • XLNet
    • BART
    • T-5

Sentimental Analysis and Argument Mining

Name Entity Recognition

Tagging, Chunking

  • Task
    • Word Segmentation
    • Syntactic Parsing
  • Model
    • Hidden Markov Model (HMM)
    • Conditional Random Fields (CRFs)
    • Finetuned Language Models

Syntax, Parsing

  • Task
    • Constituency Parsing
    • Dependency Parsing
    • Visual Grounded Syntactic Aquisition
  • Model
    • Invertible Neural Projections, EMNLP 2018
    • Unsupervised Recurrent Neural Network Grammars (URNNG), NAACL 2019
    • Compound PCFG, ACL 2019
    • Lexical Compound PCFG, TACL 2020
    • VG-NSL, ACL 2019
  • Dataset
    • PennTreeBank (PTB)

Document Analysis

Sentence-level Semantics

  • Tasks

    • Semantic Parsing
      • AMR-to-text
      • Text-to-AMR
      • Table-to-text
      • Code Generation
  • Model

    • TRANX
  • Dataset

Semantics: Lexical

  • Tasks
    • Word Sense Disambiguation

Information Extraction and Text Mining

  • Tasks
    • Topic Extraction
    • Sentimental Extraction
    • Aspect Extraction

Machine Translation

  • Task
    • Machine Translation
    • Non-autogressive Machine Translation
    • Word-alignment
  • Model
    • Back-translation, ACL 2016
    • OpenNMT, ACL 2017 [project][code]
    • Transformer, NeurIPS 2017
  • Dataset
    • WMT

Text Generation

Text Classification

  • Task
    • SPAM Classification
    • Sentiment Analysis
  • Model
    • CNN-sentence, EMNLP2014
    • CharCNN, NeurIPS2015
  • Dataset
    • Yelp Dataset
    • IMDB
    • Stanford Sentiment Treebank (SST)

Dialogue and Interactive Systems

Question Answering

  • Task
  • Dataset
    • CNN/DailyMail
    • SQuAD
      • Benchmark: F1-86.967 BERT + Synthetic Self-Training (ensemble) Jan 10, 2019
    • RACE
      • Benchmark: RACE-83.2 RACEC-M-86.5 RACE-H-81.3 RoBERTa July 2019

Resources and Evaluation

Linguistic Theories and Cognitive Modeling

Multilinguality

  • Task
    • Code-Switching
    • Mutilingual Translation
  • Model
  • Dataset
    • Linguistic Data Consortium [list] [ordered by year]
      • CALLFRIEND Mandarin - Mainland Dialect
      • CALLHOME Mandarin Chinese
    • Chinese-English Name Entity List
    • List of Chinese Dataset
    • Cantonese Dataset
    • SEAME (Mandarin-English Code-Switching in South-East Asia)

Phonology, Morphology and Word Segmentation

Textual Inference

Vision, Robotics, Speech, Multimodal

Language Modeling

  • Tasks
  • Model
    • N-gram
    • ELMo, NAACL2018
    • GPT
    • GPT-2, arXiv2019
    • GPT-3, NeurIPS2020
    • BERT, NAACL2019
      • RoBERTa, arXiv 2019
      • SpanBERT, TACL 2020
      • Efficient
        • ALBERT, arXiv 2020
        • SqueezeBERT, SustainNLP@EMNLP 2020
      • Domain Specific
        • SciBERT, EMNLP 2019
        • BioBERT, Bioinformatics 2019
        • patentBERT, arXiv 2019
        • FinBERT, arXiv 2020
        • MedBERT, arXiv 2020 [code]
        • ClinicalBERT, CHIL 2020
        • LEGAL-BERT, EMNLP Finding 2020
        • Tutorial
      • Langauge Specific [Latin BERT, German BERT, Italian BERT, Chinese BERT]
      • BERTology, TACL 2020
    • XLNet, NeurIPS2019
    • MASS, ICML2019 [code]
    • ELECTRA, ICLR2020 [code]
    • T5, JMLR2020
    • BART, ACL2020
  • Finetuning
    • Invasive (LM not fixed)
      • Regular finetuning
      • Re-initlization for few-shot learning ICLR2021
    • Non-invasive (LM fixed)
      • Prefix-tuning, arXiv2021
  • Language Model as
    • BERTScore, ICLR2020
    • Few-shot learner
      • Bias in few-shot examples, arXiv2021
    • Knowledge base EMNLP2019, Tutorial@AAAI2021
  • Dataset
    • CommonCrawl
    • Wiki-Text
    • STORIES
    • C4 [huggingface]

Computational Social Science and Social Media

Discourse and Pragmatics

Information Retrieval and Text Mining

Language Grounding to Vision, Robotics and Beyond

  • Papers
    • Experience Grounds Language, EMNLP2020

Machine Learning for NLP

Theory and Formalism in NLP

Ethics in NLP

Commonsense Knowledge

  • Tasks

    • Fact Verification
    • Commonsense Reasoning
    • Word-level Rationales
    • Factually Consistent Generation
  • Model

    • ConceptNet, AAAI2017
    • COMET, ACL2019 [paper]
  • Dataset

    • FEVER
    • FEVER 2.0 Shared Task, EMNLP 2019 [FEVER@EMNLP2021]
    • CommonGen, EMNLP Finding 2020 [paper]
    • VitaminC, NAACL 2021 [paper]

Interpretability

NLP Applications

  • Tasks
    • Grammartical Error Correction (GEC) [BEA@NAACL2018, BEA@ACL2019, BEA@ACL2020, BEA@EACL2021]
    • Lexical Substitution
    • Lexical Simplification
  • Model
    • BERT-based Lexical Substitution/GEC, [ACL2019, AAAI2020]
  • Dataset
    • ETS

Resources and Benchmarks

  • Huggingface Dataset
  • GLUE
  • SuperGLUE
  • Leaderboards
    • NLP-Progress
    • PaperwithCode

Interesting NLP

  • Google Books Ngram Viewer

Package

  • Machine Learning Package and Framework
    • sciki-learn
    • Tensorflow
    • Caffe2
    • Pytorch
    • MXNet
  • NLTK
  • gensim
  • jieba
  • Stanford NLP
  • Transformers (huggingface)

如何加入 How to contribute

如果你对本项目感兴趣,非常欢迎你加入!

  • 正常参与:请直接fork、pull都可以
  • 如果要上传文件:请不要直接上传到项目中,否则会造成git版本库过大。正确的方法是上传它的超链接。如果你要上传的文件本身就在网络中(如paper都会有链接),直接上传即可;如果是自己想分享的一些文件、数据等,鉴于国内网盘的情况,请按照如下方式上传:
    • (墙内)目前没有找到比较好的方式,只能通过链接,或者自己网盘的链接来做。
    • (墙外)首先在UPLOAD直接上传(不需要注册账号);上传成功后,在DOWNLOAD里找到你刚上传的文件,共享链接即可。

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及时更新fork项目 Update through fork

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贡献者 Contributors

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Natural Language Procesing

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artificial-intelligencecode-switchingdatasetdeep-learningembeddingmachine-learningmachine-translationnatural-language-processingnlpnlp-machine-learningnlp-resourcespaper

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