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Graph-based Natural Language Processing and Information Retrieval

Rada Mihalcea, Dragomir Radev




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 | #1433505 in Books |  Cambridge University Press |  2011-04-11 | Original language:English | PDF # 1 |  9.21 x.51 x6.14l,1.00 | File type: PDF | 202 pages

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||9 of 9 people found the following review helpful.| A source of intuition and learning|By Waseem|I have bought this book right when I stepped into Text mining (NLP) area for my current job as Data Scientist. For many months the book accrued dust on my shelf, it was until recently that I read almost half of the book in two sittings. Here is why I suddenly found this book very useful:

I was cooking up some ideas on usin| |"For the first time, a computational framework that unifies many algorithms and representations from the fields of natural language processing and information retrieval. This book is a comprehensive introduction to both theory and practice."
Giorgio Satt

Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications, and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within grap...

You can specify the type of files you want, for your device.Graph-based Natural Language Processing and Information Retrieval   |  Rada Mihalcea, Dragomir Radev. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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