Training a named entity recognizer on the web

Training a named entity recognizer on the web

Urbansky, D, Thom, J, Schuster, D and Schill, A 2011, 'Training a named entity recognizer on the web', in Athman Bouguettaya, Manfred Hauswirth and Ling Liu (ed.) Web Information System Engineering - WISE 2011, Heidelberg, Germany, 13-14 October, 2011, pp. 87-100.

Document type:	Conference Paper
Collection:	Conference Papers

Title	Training a named entity recognizer on the web
Author(s)	Urbansky, D Thom, J Schuster, D Schill, A
Year	2011
Conference name	Web Information System Engineering - WISE 2011
Conference location	Heidelberg, Germany
Conference dates	13-14 October, 2011
Proceedings title	Web Information System Engineering - WISE 2011
Editor(s)	Athman Bouguettaya, Manfred Hauswirth and Ling Liu
Publisher	Springer
Place of publication	Heidelberg, Germany
Start page	87
End page	100
Total pages	14
Abstract	In this paper, we introduce an approach for training a Named Entity Recognizer (NER) from a set of seed entities on the web. Creating training data for NERs is tedious, time consuming, and becomes more difficult with a growing set of entity types that should be learned and recognized. Named Entity Recognition is a building block in natural language processing and is widely used in fields such as question answering, tagging, and information retrieval. Our NER can be trained on a set of entity names of different types and can be extended whenever a new entity type should be recognized. This feature increases the practical applications of the NER.
Subjects	Information Retrieval and Web Search Information Systems not elsewhere classified
Keyword(s)	web knowledge extraction
Copyright notice	© 2011 Springer-Verlag
ISSN	0302-9743

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