[PDF.41jz] Graph-based Natural Language Processing and Information Retrieval

Graph-based Natural Language Processing and Information Retrieval

[PDF.ev07] Graph-based Natural Language Processing and Information Retrieval

Graph-based Natural Language Processing  Rada Mihalcea, Dragomir Radev epub
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 | #1218822 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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||4 of 4 people found the following review helpful.| Does not cover graph unification|By Glenn Slayden|While this book provides a good background on NLP processing wherein the linguistic entities are individually represented by nodes (and/or edges) in a graph, the title misled me a bit since there is no discussion of theoretical approaches where each linguistic entity is represented by a directed graph (i.e. typed feature structu| |"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 easily download any file type for your gadget.Graph-based Natural Language Processing and Information Retrieval   |  Rada Mihalcea, Dragomir Radev. A good, fresh read, highly recommended.

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