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  • 【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

    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/

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