Named entities : recognition, classification, and use / edited by Satoshi Sekine, Elisabete Ranchhod.

Previously published in Lingvisticae investigationes 30:1 (2007).

Includes bibliographical references and index.

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.

Print version record.

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.

English.

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