Tokenization and proper noun recognition for information retrieval
| UDC.coleccion | Investigación | es_ES |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | es_ES |
| 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.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.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.language.iso | eng | es_ES |
| dc.publisher | IEEE Computer Society Press | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.title | Tokenization and proper noun recognition for information retrieval | es_ES |
| dc.type | journal article | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 3313b723-2288-4d9d-b0e7-32732c9c78d5 | |
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| relation.isAuthorOfPublication | 3d821e9c-de0b-47cc-a4e0-7c531569602e | |
| relation.isAuthorOfPublication.latestForDiscovery | 3313b723-2288-4d9d-b0e7-32732c9c78d5 |
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