Articles liés à Memory-Based Parsing
Synopsis
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.
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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.
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Memory-Based Parsing (Natural Language Processing).
Edité par
John Benjamins Publishing Company., 2004
ISBN 10 : 9027249911
ISBN 13 : 9789027249913
Ancien ou d'occasion
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Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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304 pages. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. N° de réf. du vendeur 6349VB
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Memory-Based Parsing (Natural Language Processing)
Edité par
John Benjamins Publishing Compan, 2004
ISBN 10 : 9027249911
ISBN 13 : 9789027249913
Neuf
Couverture rigide
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
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Hardcover. Etat : New. N° de réf. du vendeur mon0003286496
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Memory-Based Parsing.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 303 pages. 8.85x6.06x0.87 inches. In Stock. N° de réf. du vendeur __9027249911
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MEMORY-BASED PARSING
Edité par
BENJAMINS, JOHN, AMSTERDAM, 2004
ISBN 10 : 9027249911
ISBN 13 : 9789027249913
Neuf
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Vendeur : Pórtico [Portico], ZARAGOZA, Z, Espagne
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Tapa blanda. Etat : New. KUEBLER, S.: MEMORY-BASED PARSING. AMSTERDAM, 2004, viii 294 p. figuras, 530 gr. Encuadernacion original. Nuevo. (LB-1-6) 530 gr. Libro. N° de réf. du vendeur 370998
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