Graph-based Natural Language Processing and Information

Graph-based Natural Language Processing and Information Retrieval

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 graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification, and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.

Country	USA
Binding	Hardcover
Brand	Brand: Cambridge University Press
EAN	9780521896139
Edition	1
Feature	Used Book in Good Condition
ISBN	0521896134
IsEligibleForTradeIn	1
Label	Cambridge University Press
Manufacturer	Cambridge University Press
NumberOfItems	1
NumberOfPages	202
PublicationDate	2011-04-11
Publisher	Cambridge University Press
Studio	Cambridge University Press
ReleaseDate	0000-00-00

Graph-based Natural Language Processing and Information Retrieval