Graph-based Natural Language Processing and Information Retrieval

Name: Graph-based Natural Language Processing and Information Retrieval
Brand: Cambridge University Press
SKU: 9780521896139
Price: 1964 CZK
Availability: InStock

Autor: Rada F Mihalcea

Jazyk:

Vazba: Pevná

Vydavatel: Cambridge University Press

Dostupnost: Skladem u dodavatele

Odesíláme za 9-15 dnů

1 964 Kč

Graph theory and the fields of natural language processing and information retrieval are well-studie...

Informace o knize

Autor

Rada F Mihalcea

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2011

Stránek

202

EAN

9780521896139

ISBN

0521896134

Enbook ID

04390672

Vydavatel

Cambridge University Press

Hmotnost

436

Rozměry

165 x 236 x 11

Kompletní popis

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.

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Graph-based Natural Language Processing and Information Retrieval

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