【NLP】Resources of Coursera-NLP

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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

【NLP】Resources of Coursera-NLP

标签：web   efficient   sky   pre   ima   ram   position   coursera   htm   

原文地址：https://www.cnblogs.com/wangzming/p/11557897.html