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Graph-based Natural Language Processing and Information Retrieval

Graph-based Natural Language Processing and Information Retrieval

作者:Rada F. Mihalcea,Dra

分类:文学

ISBN:9780521896139

出版时间:2011-4-11

出版社:Cambridge University Press

标签: 计算语言学  NLP  机器学习  graph-based  复杂网络 

章节目录

http://www.cambridge.org/gb/knowledge/isbn/item5980387/?site_locale=en_GB

内容简介

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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