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. 我对android 软件栈了解

    android 软件栈如图所示: Android平台的核心是Linux内核,它负责设备驱动程序.资源访问.电源管理和完成其他操作系统的职责.提供的设备驱动程序包括显示器.照相机,键盘.WiFi.闪存. ...

  2. 赋值操作符、复制构造函数、析构函数、static成员练习

    /** * 定义一个Employee类,包含雇员名字和一个唯一的雇员标识,为该类定义默认构造函数和参数为表示 * 雇员名字的string构造函数.如果该类需要复制构造函数或赋值操作符,实现这些函数 * ...

  3. 转:查看linux系统版本号

    转自: http://blog.csdn.net/zhuying_linux/article/details/6859286 lsb_release -a

  4. 使用phpqrcode生成二维码

    使用PHP语言生成二维码,还是挺有难度的,当然调用生成二维码图片的接口(比如:联图网http://www.liantu.com/的接口)除外,如果自己写代码生成,真的无从下手.然而,我们可以使用php ...

  5. robot framework + python实现http接口自动化测试框架

    https://www.jianshu.com/p/6d1e8cb90e7d 前言 下周即将展开一个http接口测试的需求,刚刚完成的java类接口测试工作中,由于之前犯懒,没有提前搭建好自动化回归测 ...

  6. 海马模拟器连不上ADB的解决方法

    http://yunpan.cn/c3xMeYhvVsEIq  访问密码 fa8d先暂时用这个工具吧,官方提供的,不过目前不是最终版,后面会加入到模拟器中 adb connect 127.0.0.1: ...

  7. WampServer在win10系统下安装的坑

    WampServer之前一直是好好的,最近换了Win10的系统,安装的不太顺利. 1.问题一 出现的第一个问题,就是安装时会报错.怎么解决的,具体的我已经忘记了,好像是要下载vc运行时包. 2.问题二 ...

  8. SQL Server Window Function 窗体函数读书笔记一 - SQL Windowing

    SQL Server 窗体函数主要用来处理由 OVER 子句定义的行集, 主要用来分析和处理 Running totals Moving averages Gaps and islands 先看一个简 ...

  9. 第二周 Word版面设计

    第二周 Word版面设计 教学时间 2013-3-5 教学课时 2 教案序号 1 教学目标 1.能正确设置纸张.版心.视图.分栏.页眉页脚2.掌握节的概念并能正确使用 教学过程: 新课 要使一篇文档美 ...

  10. Linux实现多线程高速下载

    使用Wget下载,有时候速度挺慢的. 有没有好办法呢? 一.解决方案 安装axel 安装方法: yum -y install epel-release .el7.x86_64.rpm rpm -ivh ...