Named Entities. Recognition, classification and use.
| Autor: | SEKINE, Satoshi and Elisabete RANCHHOD (eds.) |
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| Popis: | 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. |
| Databáze: | eBook Collection (EBSCOhost) |
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