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Natural language processing
来自开放百科 - 灰狐
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Natural language processing(简称NLP) 自然语言处理是人工智能和语言学领域的分支学科。 | Natural language processing(简称NLP) 自然语言处理是人工智能和语言学领域的分支学科。 | ||
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+ | ==简介== | ||
+ | [[deep learning|Deep Learning]] is becoming hot in Natural Language Processing | ||
==项目== | ==项目== | ||
*[https://github.com/edobashira/speech-language-processing Speech and Natural Language Processing] [[image:awesome.png]] | *[https://github.com/edobashira/speech-language-processing Speech and Natural Language Processing] [[image:awesome.png]] | ||
− | *[http://nlp.stanford.edu/projects/chinese-nlp.shtml 斯坦福大学自然语言处理工具] | + | *[https://github.com/facebookresearch/fastText fastText] |
+ | *[https://github.com/facebookresearch/DrQA DrQA] Reading Wikipedia to Answer Open-Domain Questions | ||
+ | *[[Apache UIMA]] | ||
+ | *[[DeepDive]] | ||
+ | *[[Apache OpenNLP]] | ||
+ | *[[ScalaNLP]] | ||
+ | *[[Natural Language Toolkit]] | ||
+ | *[http://nlp.stanford.edu/ Stanford NLP Group], [http://nlp.stanford.edu/projects/chinese-nlp.shtml 斯坦福大学自然语言处理工具] | ||
+ | *[https://github.com/stanfordnlp Stanford NLP @ GitHub] | ||
*[https://github.com/NLPchina NLPChina: 中国自然语言处理开源组织] | *[https://github.com/NLPchina NLPChina: 中国自然语言处理开源组织] | ||
+ | |||
+ | ==文档== | ||
+ | *[http://docs.huihoo.com/deep-learning/Deep-Learning-for-Natural-Language-Processing-CCF-ADL-20160529.pdf Deep Learning for Natural Language Processing] | ||
+ | *[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/NLP-and-Deep-Learning-1-Human-Language-and-Word-Vectors.pdf NLP and Deep Learning 1: Human Language & Word Vectors] | ||
+ | *[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/NLP-and-Deep-Learning-2-Compositonal-Deep-Learning.pdf NLP and Deep Learning 2: Compositonal Deep Learning] | ||
+ | *[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/Deep-NLP-Recurrent-Neural-Networks.pdf Deep NLP Recurrent Neural Networks] | ||
+ | *[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/Memory-Reading-and-Comprehension.pdf Memory, Reading, and Comprehension] | ||
+ | *[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/Deep-NLP-Applications-and-Dynamic-Memory-Networks.pdf Deep NLP Applications and Dynamic Memory Networks] | ||
==图书== | ==图书== | ||
*[http://www.nltk.org/book/ 《Natural Language Processing with Python》] | *[http://www.nltk.org/book/ 《Natural Language Processing with Python》] | ||
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+ | ==图集== | ||
+ | <gallery> | ||
+ | image:drqa.png|DrQA | ||
+ | image:difference-between-classical-nlp-deep-learning-nlp.png|传统NLP和深度学习NLP | ||
+ | image:future-applications-of-nlp.png|NLP应用 | ||
+ | image:nlp-nlu-engineer-skill-tree.png|技能树 | ||
+ | </gallery> | ||
==链接== | ==链接== | ||
+ | *[https://www.xenonstack.com/blog/overview-of-artificial-intelligence-and-role-of-natural-language-processing-in-big-data Overview of Artificial Intelligence and Role of Natural Language Processing in Big Data] | ||
+ | *[http://www.infoq.com/cn/articles/predicting-movie-ratings-nlp 预测电影评级:NLP正是电影公司所需要的] | ||
*[http://www.52nlp.cn/?p=8339 斯坦福大学深度学习与自然语言处理第一讲:引言] | *[http://www.52nlp.cn/?p=8339 斯坦福大学深度学习与自然语言处理第一讲:引言] | ||
*[http://www.52nlp.cn/?p=8438 斯坦福大学深度学习与自然语言处理第二讲:词向量] | *[http://www.52nlp.cn/?p=8438 斯坦福大学深度学习与自然语言处理第二讲:词向量] | ||
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*[http://www.52nlp.cn/?p=8660 用MeCab打造一套实用的中文分词系统(四):MeCab增量更新] | *[http://www.52nlp.cn/?p=8660 用MeCab打造一套实用的中文分词系统(四):MeCab增量更新] | ||
*[http://blog.csdn.net/u010454729 无限大地NLP_空木的专栏,研究自然语言处理、机器学习、信息抽取等方向] | *[http://blog.csdn.net/u010454729 无限大地NLP_空木的专栏,研究自然语言处理、机器学习、信息抽取等方向] | ||
+ | *[http://www.thunlp.org/ 清华大学自然语言处理与社会人文计算实验室] | ||
[[category:natural language processing]] | [[category:natural language processing]] | ||
+ | [[category:speech recognition]] | ||
[[category:python]] | [[category:python]] |
2018年4月19日 (四) 10:24的版本
您可以在Wikipedia上了解到此条目的英文信息 Natural language processing Thanks, Wikipedia. |
Natural language processing(简称NLP) 自然语言处理是人工智能和语言学领域的分支学科。
目录 |
简介
Deep Learning is becoming hot in Natural Language Processing
项目
- Speech and Natural Language Processing
- fastText
- DrQA Reading Wikipedia to Answer Open-Domain Questions
- Apache UIMA
- DeepDive
- Apache OpenNLP
- ScalaNLP
- Natural Language Toolkit
- Stanford NLP Group, 斯坦福大学自然语言处理工具
- Stanford NLP @ GitHub
- NLPChina: 中国自然语言处理开源组织
文档
- Deep Learning for Natural Language Processing
- NLP and Deep Learning 1: Human Language & Word Vectors
- NLP and Deep Learning 2: Compositonal Deep Learning
- Deep NLP Recurrent Neural Networks
- Memory, Reading, and Comprehension
- Deep NLP Applications and Dynamic Memory Networks
图书
图集
链接
- Overview of Artificial Intelligence and Role of Natural Language Processing in Big Data
- 预测电影评级:NLP正是电影公司所需要的
- 斯坦福大学深度学习与自然语言处理第一讲:引言
- 斯坦福大学深度学习与自然语言处理第二讲:词向量
- 斯坦福大学深度学习与自然语言处理第三讲:高级的词向量表示
- 用MeCab打造一套实用的中文分词系统(一)
- 用MeCab打造一套实用的中文分词系统(二)
- 用MeCab打造一套实用的中文分词系统(三):MeCab-Chinese
- 用MeCab打造一套实用的中文分词系统(四):MeCab增量更新
- 无限大地NLP_空木的专栏,研究自然语言处理、机器学习、信息抽取等方向
- 清华大学自然语言处理与社会人文计算实验室
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