Graph-based Natural Language Processing and Information Retrievaltxt,chm,pdf,epub,mobi下载
作者:
Rada F. Mihalcea
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Dragomir R. Radev
出版社: Cambridge University Press 出版年: 2011-4-11 页数: 208 定价: USD 65.00 装帧: Hardcover ISBN: 9780521896139
内容简介
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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 lan...
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.
目录
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http://www.cambridge.org/gb/knowledge/isbn/item5980387/?site_locale=en_GB
http://www.cambridge.org/gb/knowledge/isbn/item5980387/?site_locale=en_GB
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很不错的书
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相当发人深省
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