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...
| Други автори: | Sekine, Satoshi., Ranchhod, Elisabete, 1948- |
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| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Amsterdam ; Philadelphia :
John Benjamins Pub. Co.,
℗♭2009.
|
| Серия: |
Benjamins current topics ;
v. 19. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=284035 |
| Подобни документи: |
Print version::
Named entities. |
| Резюме: |
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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| Описание на библ. документ: |
Previously published in Lingvisticae investigationes 30:1 (2007). |
| Физически характеристики: |
1 online resource (168 pages) : illustrations. |
| Библиография: |
Includes bibliographical references and index. |
| ISBN: |
9789027289223 9027289220 9027222495 9789027222497 1282245317 9781282245310 |
| ISSN: |
1874-0081 ; |