Memory-based Parsing (natural Language Processing) 🔍
KÜBLER, Sandra
John Benjamins Publishing Company, John Benjamins Publishing Co., Amsterdam, 2004
英语 [en] · PDF · 14.2MB · 2004 · 📗 未知类型的图书 · 🚀/ia · Save
描述
"Memory-Based Learning (MBL), one of the most influential machine learning paradigms, has been applied with great success to a variety of NLP tasks. This monograph describes the application of MBL to robust parsing. Robust parsing using MBL can provide added functionality for key NLP applications, such as Information Retrieval, Information Extraction, and Question Answering, by facilitating more complex syntactic analysis than is currently available. The text presupposes no prior knowledge of MBL." "It provides a comprehensive introduction to the framework and goes on to describe and compare applications of MBL to parsing. Since parsing is not easily characterizable as a classification task, adaptations of standard MBL are necessary. These adaptations can either take the form of a cascade of local classifiers or of a holistic approach for selecting a complete tree." "The text provides excellent course material on MBL. It is equally relevant for any researcher concerned with symbolic machine learning, Information Retrieval, Information Extraction, and Question Answering."--Jacket
备选作者
Sandra Kübler
备用出版商
Amsterdam ; Philadelphia: J. Benjamins
备用出版商
Benjamins, John
备用版本
Natural language processing,, v. 7, Amsterdam, Philadelphia, Netherlands, 2004
备用版本
Natural language processing, 7, Amsterdam ; Philadelphia, c2004
备用版本
United States, United States of America
备用版本
Netherlands, Netherlands
备用版本
ISSN 15678202, 2004
元数据中的注释
Includes bibliographical references (p. [268]-283) and index.
备用描述
viii, 294 p. : 23 cm
Includes bibliographical references (p. [268]-283) and index
Includes bibliographical references (p. [268]-283) and index
开源日期
2024-07-01
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