2016年12月7日 星期三

NLP survy

Gate-vs-UIMA-vs-OpenNLP
https://app.assembla.com/spaces/extraction-of-cost-data/wiki/Gate-vs-UIMA-vs-OpenNLP

NLP相關資源
https://handong1587.github.io/deep_learning/2015/10/09/nlp.html

NLP 笔记--徐阿衡

NLP 笔记 - Sentiment Analysis
06-01
论文笔记 - Learning to Extract Conditional Knowledge for Question Answering using Dialogue
05-24
NLP 笔记 - Text Summarization
05-10
NLP 笔记 - Machine Translation
05-01
NLP笔记 - NLU之意图分类
04-27
NLP 笔记 - Compositional Semantics
04-13
NLP笔记 - Relation Extraction


Deep Learning for NLP course
oxford: https://github.com/oxford-cs-deepnlp-2017/lectures

The course provides a deep excursion into cutting-edge research in deep learning applied to NLP. The final project will involve training a complex recurrent neural network and applying it to a large scale NLP problem.
http://cs224d.stanford.edu/syllabus.html
http://cs224d.stanford.edu/

How to Generate a Good Word Embedding? (source code)
Folder embedding contains all embedding algorithms we used in this paper.

Folder evaluation contains all evaluation tasks in the paper.
https://github.com/licstar/compare

Blog文章
  • Deep Learning in NLP
  • 维基百科简体中文语料的获取
  • 《How to Generate a Good Word Embedding?》导读
http://licstar.net/archives/category/%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86

Using NLP, Machine Learning & Deep Learning Algorithms to Extract Meaning from Text
https://www.infoq.com/presentations/nlp-machine-learning-meaning-text

NLP频道
https://liweinlp.com/?p=29
http://blog.sciencenet.cn/blog-362400-902391.html

立委博士,自然語言處理(NLP)資深架構師,Pinciple Scientist, jd-valley, Netbase前首席科學家,期間指揮團隊研發了18種語言的理解和應用系統。特別是漢語和英語,具有世界一流的分析(parsing)精度,並且做到魯棒、線速,scale up to大數據,語義落地到數據挖掘和問答產品。Cymfony前研發副總,曾榮獲第一屆問答系統第一名(TREC-8 QA Track),並贏得17個美國國防部的信息抽取項目(PI for 17 SBIRs)。立委NLP工作的應用方向包括大數據輿情挖掘、客戶情報、信息抽取、知識圖譜、問答系統、智能助理、語義搜索等等。

Introduction to NLP Architecture
https://www.linkedin.com/pulse/introduction-nlp-architecture-wei-li
   

Introduction to Natural Language Processing (NLP) 2016
The field of study that focuses on the interactions between human language and computers is called Natural Language Processing, or NLP for short. 
http://blog.algorithmia.com/introduction-natural-language-processing-nlp/


NLP news 
https://nlp.hivefire.com/

Text Mining and Text Analysis Tools
http://www.butleranalytics.com/20-text-mining-and-text-analysis-tools/
http://www.predictiveanalyticstoday.com/top-software-for-text-analysis-text-mining-text-analytics/

ICLR 2017 – NLP PAPERs
https://amundtveit.com/2016/11/12/deep-learning-for-natural-language-processing-iclr-2017-discoveries/

Text Analysis, Text Mining, and Information Retrieval Software

  • On-line Text Mining / Text Analytics Tools
  • Commercial Text Mining / Text Analytics Software
  • Free and Open-Source Text Mining / Text Analytics Software
http://www.kdnuggets.com/software/text.html

context2vec Toolkit
represents sentential contexts of target words, as well as target words themselves, as low dimensional continuous vectors, commonly called embeddings.
http://u.cs.biu.ac.il/~nlp/resources/downloads/context2vec/

Training and serving NLP models using Spark MLlib
https://www.oreilly.com/ideas/training-and-serving-nlp-models-using-spark-mllib

CRAN Task View: Natural Language Processing
This CRAN task view collects relevant R packages that support computational linguists in conducting analysis of speech and language on a variety of levels - setting focus on words, syntax, semantics, and pragmatics.
https://cran.r-project.org/web/views/NaturalLanguageProcessing.html

AlchemyLanguage Features

Text Analysis Functions:


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