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. Spring(十九):Spring AOP(三):切面的优先级、重复使用切入点表达式

    背景: 1)指定切面优先级示例:有的时候需要对一个方法指定多个切面,而这多个切面有时又需要按照不同顺序执行,因此,切面执行优先级别指定功能就变得很实用. 2)重复使用切入点表达式:上一篇文章中,定义前 ...

  2. GPUImage API文档之GPUImageFramebuffer类

    GPUImageFramebuffer类用于管理帧缓冲对象,负责帧缓冲对象的创建和销毁,读取帧缓冲内容 属性 @property(readonly) CGSize size 说明:只读属性,在实现中, ...

  3. Mockito各场景使用介绍

    场景1:某三方接口所有方法都需要Mock 实现方式1-配置configrution bean 实现方式2-在application context中配置mock bean 场景2:某三方接口部分方法m ...

  4. 一个小栗子聊聊JAVA泛型基础

    背景 周五本该是愉快的,可是今天花了一个早上查问题,为什么要花一个早上?我把原因总结为两点: 日志信息严重丢失,茫茫代码毫无头绪. 对泛型的认识不够,导致代码出现了BUG. 第一个原因可以通过以后编码 ...

  5. 壮士断腕!WordPress宣布停止使用React

    WordPress是一种使用PHP语言开发的博客平台,用户可以在支持PHP和MySQL数据库的服务器上架设属于自己的网站,也可以把WordPress当作一个内容管理系统(CMS)来使用. WordPr ...

  6. 8个DBA最常用的监控Oracle数据库的常用shell脚本

    本文介绍了8个常用的监控数据shell脚本.首先回顾了一些DBA常用的Unix命令,以及解释了如何通过Unix Cron来定时执行DBA脚本.网上也有好多类似的文章,但基本上都不能正常运行,花点时间重 ...

  7. C语言编程流程

     大家都知道,写程序大体步骤为:1.用编辑器编写源代码,如.c文件.2.用编译器编译代码生成目标文件,如.o.3.用链接器连接目标代码生成可执行文件,如.exe.但如果源文件太多,一个一个编译时就会特 ...

  8. ReSharper修改命名风格

    默认情况下,ReSharper会建议你全局变量命名使用下划线开头,且第一个字母小写.否则,会给你标记出来,如下: 但我个人不喜欢这种风格,一般使用首字母大写且不带下划线,可以通过配置来调整:ReSha ...

  9. HTML DOM defaultValue 属性

    定义和用法 defaultValue 属性设置或返回文本框的初始内容. 注释:文本框的初始值是位于 <textarea> 和 </textarea> 标签之间的文本.在表单被重 ...

  10. jquery.cookie.js结合asp.net实现最近浏览记录

    一.html代码 <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://ww ...