Tokenization and proper noun recognition for information retrieval

dc.contributor.author	Barcala Rodríguez, Francisco Mario
dc.contributor.author	Vilares, Jesús
dc.contributor.author	Alonso, Miguel A.
dc.contributor.author	Graña Gil, Jorge
dc.contributor.author	Vilares Ferro, Manuel
dc.date.accessioned	2005-11-21T13:23:22Z
dc.date.available	2005-11-21T13:23:22Z
dc.date.issued	2005-11-21T13:23:22Z
dc.identifier.citation	Proceedings of the Thirteen International Workshop on Database and Expert Systems Applications (DEXA-2002) / Third International Workshop on Natural Language and Information Systems (NLIS-2002), Aix-en-Provence (France),Tjoa, A.M.; Wagner, R.R. (eds.). pp. 246-250.	es_ES
dc.identifier.isbn	0-7695-1668-8
dc.identifier.issn	1529-4188
dc.identifier.uri	http://hdl.handle.net/2183/162
dc.description.abstract	[Abstract] In this paper we consider a set of natural language processing techniques that can be used to analyze large amounts of texts, focusing on the advanced tokenizer which accounts for a number of complex linguistic phenomena, as well as for pre-tagging tasks such as proper noun recognition. We also show the results of several experiments performed in order to study the impact of the strategy chosen for the recognition of proper nouns	es_ES
dc.format.mimetype	application/postscript
dc.format.mimetype	text/plain
dc.language.iso	eng	es_ES
dc.publisher	IEEE Computer Society Press	es_ES
dc.title	Tokenization and proper noun recognition for information retrieval	es_ES
dc.type	info:eu-repo/semantics/article	es_ES
dc.rights.access	info:eu-repo/semantics/openAccess	es_ES