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Named entities : recognition, classification, and use /
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...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Philadelphia :
John Benjamins Pub. Co.,
©2009.
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| Colección: | Benjamins current topics ;
v. 19. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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. |
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| Notas: | Previously published in Lingvisticae investigationes 30:1 (2007). |
| Descripción Física: | 1 online resource (168 pages) : illustrations |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9789027289223 9027289220 9027222495 9789027222497 1282245317 9781282245310 9786612245312 661224531X |
| ISSN: | 1874-0081 ; |