【NLP】Resources of Coursera-NLP

Written By: stackupdown(jh)

I. Background
This repo is learning notes of the open course **Natural Language Processing** of Dan Jurafsky and Christopher Manning in Coursera.

- Course Videos:
You can watch the videos from youtube or coursera.The link can be reached from https://nlp.stanford.edu/manning/, which is currently [NLP Course in Youtube](https://www.youtube.com/playlist?list=PLoROMvodv4rOFZnDyrlW3-nI7tMLtmiJZ).
- The course slides is as follow:
https://web.stanford.edu/~jurafsky/NLPCourseraSlides.html

II. Resources

The following is some resources for researching NLP. It does not include some newly published resources like SQuAD or

Bert or XLNet.

N-grams

https://books.google.com/ngrams

Sentiment Analysis

http://sentiwordnet.isti.cnr.it/ SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity.

Extracting Relations

DBPedia: 1 billion RDF triples, 385 from English Wikipedia

20 Semantics

• WordNet Page

Q. What's the comparision between different corpuses?

III. Some Papers

A Primer on Neural Network Models for Natural Language Processing

A neural probabilistic language model

Efficient Estimation of Word Representations in Vector Space

Distributed Representations of Words and Phrases and their Compositionality

 

III. Opensource Software/Books

Speech and Language Processing

https://web.stanford.edu/~jurafsky/slp3/ 

nltk

It's written in python and now used mainly for research and teaching.

HanLP

https://github.com/hankcs/HanLP A series of toolkit for Chinese language processing(mainly), which is aimed

at production environment and now used in many opensource projects as a basic component. It is written in Java.

IV. Researchers

Sebstian Ruder (A well-known blog author)

http://ruder.io/

Kimiyoung

http://kimiyoung.github.io/