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You're reading from  Natural Language Processing and Computational Linguistics

Product typeBook
Published inJun 2018
Reading LevelBeginner
PublisherPackt
ISBN-139781788838535
Edition1st Edition
Languages
Python
Tools
Spacy
Concepts
Mobile Application Development
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Bhargav Srinivasa-Desikan
Bhargav Srinivasa-Desikan
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Bhargav Srinivasa-Desikan

Bhargav Srinivasa-Desikan is a research engineer working for INRIA in Lille, France. He is a part of the MODAL (Models of Data Analysis and Learning) team, and he works on metric learning, predictor aggregation, and data visualization. He is a regular contributor to the Python open source community, and completed Google Summer of Code in 2016 with Gensim where he implemented Dynamic Topic Models. He is a regular speaker at PyCons and PyDatas across Europe and Asia, and conducts tutorials on text analysis using Python.
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References

[1] Introduction to Structural Syntax: http://www.home.uni-osnabrueck.de/bschwisc/archives/tesniere.pdf

[2] Term Logic: https://plato.stanford.edu/archives/win2016/entries/logic-ancient/

[3] Noam Chomsky: https://en.wikipedia.org/wiki/Noam_Chomsky

[4] Image link: https://en.wikipedia.org/wiki/Phrase_structure_grammar#/media/File:Thistreeisillustratingtherelation(PSG).png

[5] Phrase Structure Grammar: https://en.wikipedia.org/wiki/Phrase_structure_grammar

[6] Dependency Grammar and Dependency Parsing: http://stp.lingfil.uu.se/~nivre/docs/05133.pdf

[7] Dependency Grammar: https://en.wikipedia.org/wiki/Dependency_grammar

[8] CLEAR style:http://www.mathcs.emory.edu/~choi/doc/cu-2012-choi.pdf

[9] displaCy: https://explosion.ai/demos/displacy

[10] spaCy annotation page: https://spacy.io/api/annotation#dependency-parsing

[11] Stanford Dependency Parser: https://nlp.stanford.edu/software/nndep.shtml

[12] Stanford Statistical Parser: https://nlp.stanford.edu/software/lex-parser.shtml

[13] NLTK Dependency...

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Natural Language Processing and Computational Linguistics
Published in: Jun 2018Publisher: PacktISBN-13: 9781788838535
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Author (1)

author image
Bhargav Srinivasa-Desikan

Bhargav Srinivasa-Desikan is a research engineer working for INRIA in Lille, France. He is a part of the MODAL (Models of Data Analysis and Learning) team, and he works on metric learning, predictor aggregation, and data visualization. He is a regular contributor to the Python open source community, and completed Google Summer of Code in 2016 with Gensim where he implemented Dynamic Topic Models. He is a regular speaker at PyCons and PyDatas across Europe and Asia, and conducts tutorials on text analysis using Python.
Read more about Bhargav Srinivasa-Desikan

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