Natural Language Processing Tasks and Selected References

I've been working on several natural language processing tasks for a long time. One day, I felt like drawing a map of the NLP field where I earn a living. I'm sure I'm not the only person who wants to see at a glance which tasks are in NLP.

I did my best to cover as many as possible tasks in NLP, but admittedly this is far from exhaustive purely due to my lack of knowledge. And selected references are biased towards recent deep learning accomplishments. I expect these serve as a starting point when you're about to dig into the task. I'll keep updating this repo myself, but what I really hope is you collaborate on this work. Don't hesitate to send me a pull request!

Oct. 13, 2017.

by Kyubyong

Reviewed and updated by YJ Choe on Oct. 18, 2017.

Anaphora Resolution

Automated Essay Scoring

Automatic Speech Recognition

Automatic Summarisation

Coreference Resolution

Entity Linking

Grammatical Error Correction

Grapheme To Phoneme Conversion

Humor and Sarcasm Detection

Language Grounding

Language Guessing

Language Identification

Language Modeling

Language Recognition

Lemmatisation

Lip-reading

Machine Translation

Morphological Inflection Generation

Named Entity Disambiguation

Named Entity Recognition

Paraphrase Detection

Paraphrase Generation

Parsing

Part-of-speech Tagging

Pinyin-To-Chinese Conversion

Question Answering

Relationship Extraction

Semantic Role Labeling

Sentence Boundary Disambiguation

Sentiment Analysis

Singing Voice Synthesis

Social Science Applications

Source Separation

Speaker Authentication

Speaker Diarisation

Speaker Recognition

Speech Reading

Speech Recognition

Speech Segmentation

Speech Synthesis

Speech Enhancement

Speech-To-Text

Spoken Term Detection

Stemming

Term Extraction

Text Similarity

Text Simplification

Text-To-Speech

Textual Entailment

Transliteration

Voice Conversion

Voice Recognition

Word Embeddings

Word Prediction

Word Segmentation

Word Sense Disambiguation

— Language Models, Segmentation
— Morphological Analysis, POS Tagging and Sequence Labeling
— Syntactic and Semantic Parsing
— Lexical and Compositional Semantics
— Discourse and Coreference
— Dialogue and Interactive Systems
— Narrative Understanding and Commonsense Reasoning
— Spoken Language Processing
— Text Mining
— Sentiment Analysis and Opinion Mining
— Information Retrieval, Question Answering
— Information Extraction
— Summarization
— Natural Language Generation
— Machine Translation
— Multilinguality and Cross-linguality
— Linguistic Theories and Resources
— Computational Psycholinguistics
— Multimodal and Grounded Language Processing
— Machine Learning for NLP
— Web, Social Media and Computational Social Science
— Ethics and Fairness in NLP
— Other NLP Applications

[转]NLP Tasks的更多相关文章

  1. NLP里面的一些基本概念

    1,corpus 语料库 a computer-readable collection of text or speech 2,utterance 发音 比如下面一句话:I do uh main- m ...

  2. [转] Understanding Convolutional Neural Networks for NLP

    http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/ 讲CNN以及其在NLP的应用,非常 ...

  3. Understanding Convolutional Neural Networks for NLP

    When we hear about Convolutional Neural Network (CNNs), we typically think of Computer Vision. CNNs ...

  4. [NLP] cs224n-2019 Assignment 1 Exploring Word Vectors

      CS224N Assignment 1: Exploring Word Vectors (25 Points)¶ Welcome to CS224n! Before you start, make ...

  5. CNN for NLP

    卷积神经网络在自然语言处理任务中的应用.参考链接:Understanding Convolutional Neural Networks for NLP(2015.11) Instead of ima ...

  6. 最佳实践：深度学习用于自然语言处理(Deep Learning for NLP Best Practices) - 阅读笔记

    https://www.wxnmh.com/thread-1528249.htm https://www.wxnmh.com/thread-1528251.htm https://www.wxnmh. ...

  7. 基于OpenSeq2Seq的NLP与语音识别混合精度训练

    基于OpenSeq2Seq的NLP与语音识别混合精度训练 Mixed Precision Training for NLP and Speech Recognition with OpenSeq2Se ...

  8. 常用python机器学习库总结

    开始学习Python,之后渐渐成为我学习工作中的第一辅助脚本语言,虽然开发语言是Java,但平时的很多文本数据处理任务都交给了Python.这些年来,接触和使用了很多Python工具包,特别是在文本处 ...

  9. (转) The major advancements in Deep Learning in 2016

    The major advancements in Deep Learning in 2016 Pablo Tue, Dec 6, 2016 in MACHINE LEARNING DEEP LEAR ...

随机推荐

  1. Android之ASD组件（一）

    Google在android5.0之后推出新设计标准Material Design,为了能在低版本上使用Material Design,google发布了Android Support Design支 ...

  2. 大数据开发实战：Hadoop数据仓库开发实战

    1.Hadoop数据仓库架构设计 如上图. ODS(Operation Data Store)层:ODS层通常也被称为准备区(Staging area),它们是后续数据仓库层(即基于Kimball维度 ...

  3. Kernel Memory Layout on ARM Linux

    这是内核自带的文档,讲解ARM芯片的内存是如何布局的!比较简单,对于初学者可以看一下!但要想深入理解Linux内存管理,建议还是找几本好书看看,如深入理解Linux虚拟内存,嵌入系统分析,Linux内 ...

  4. PHP Manager for IIS

    SOAP error on IIS8 Registering new PHP version sets bad values set for FastCGI activityTimeout, requ ...

  5. [Canvas]走近的女孩

    动态效果请点此下载文件并使用Chrome或者FireFox浏览器观看. 图例: 代码: <!DOCTYPE html> <html lang="utf-8"> ...

  6. Mat类具体解释（二）

    Mat::~Mat Mat的析构函数. C++: Mat::~Mat() 析构函数调用Mat::release(). Mat::operator = 提供矩阵赋值操作. C++: Mat& M ...

  7. C#.NET常见问题(FAQ)-构造器constructor有什么用

    所谓的构造器constructor,就是声明类的时候定义一个public 类名的方法,这个方法不需要传递任何数据,这样的话在声明任何类的实例的时候都会无条件执行里面的方法   析构器只在程序销毁的时候 ...

  8. C#.NET常见问题(FAQ)-如何让文本框textbox内容限制为数字

    //限制文本框的输入 private void txtQuestionScore_KeyPress(object sender, KeyPressEventArgs e) { if (e.KeyCha ...

  9. SQL语句 怎么把从一个表中查出来数据插入到另一个表中

    (1).select * into destTbl from srcTbl(2).insert into destTbl(fld1, fld2) select fld1, 5 from srcTbl

  10. 在Linux系统中增加和删除用户

    linux创建账户并自动生成主目录和主目录下的文件 在Linux系统中增加和删除用户 Linux添加用户(user)到用户组(group) usermod -a -G groupA user linu ...