Description |
1 online resource (168 pages) : illustrations. |
Physical Medium |
polychrome |
Description |
text file |
Series |
Benjamins current topics,
1874-0081 ;
v. 19
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Benjamins current topics ; v. 19.
|
Note |
Previously published in Lingvisticae investigationes 30:1 (2007). |
Bibliography |
Includes bibliographical references and index. |
Contents |
A survey of named entity recognition and classification / David Nadeau and Satoshi Sekine -- Diversity in logarithmic opinion pools / Andrew D.M. Smith and Miles Osborne -- Handling conjunctions in named entities / Pawel Mazur and Robert Dale -- Complex named entities in Spanish texts : structures and properties / Sofia N. Galicia-Haro and Alexander Gelbukh -- Named entity recognition and transliteration in Bengali / Asif Ekbal, Sudip Kumar Naskar and Sivaji Bandyopadhyay -- A note on the semantic and morphological properties of proper names in the Prolex project / Duško Vitas, Cvetana Krstev, and Denis Maurel -- Cross-lingual named entity recognition / Ralf Steinberger and Bruno Pouliquen. |
Summary |
Named Entities provides critical information for many NLP applications. Named Entity recognition and classification (NERC) in text is recognized as one of the important sub-tasks of Information Extraction (IE). The seven papers in this volume cover various interesting and informative aspects of NERC research. Nadeau & Sekine provide an extensive survey of past NERC technologies, which should be a very useful resource for new researchers in this field. Smith & Osborne describe a machine learning model which tries to solve the over-fitting problem. Mazur & Dale tackle a common problem of NE and. |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Subject |
Onomastics.
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Onomastics. |
Genre/Form |
Electronic books.
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Added Author |
Sekine, Satoshi.
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Ranchhod, Elisabete, 1948-
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Added Title |
Lingvisticae investigationes.
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Other Form: |
Print version: Named entities. Amsterdam ; Philadelphia : John Benjamins Pub. Company, ©2009 9789027222497 (DLC) 2009017541 (OCoLC)319602672 |
ISBN |
9789027289223 (electronic book) |
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9027289220 (electronic book) |
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9027222495 (hardback ; alkaline paper) |
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9789027222497 (hardback ; alkaline paper) |
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1282245317 |
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9781282245310 |
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9789027222497 (hardback ; alkaline paper) |
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