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Memory-based parsing /
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, su...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Philadelphia :
J. Benjamins,
©2004.
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| Colección: | Natural language processing ;
v. 7. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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 appl. |
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| Descripción Física: | 1 online resource (viii, 294 pages) : illustrations |
| Bibliografía: | Includes bibliographical references (pages 268-283) and index. |
| ISBN: | 9789027275141 9027275149 1283280124 9781283280129 9786613280121 6613280127 |
| ISSN: | 1567-8202 ; |