Combining Wikipedia and WordNet for improving domain terms compilation
Domain terms are a useful mean for tuning both resources and NLP processors to domain specific tasks. This paper proposes an improved method for obtaining terms from potentially any domain using the Wikipedia graph structure as a knowledge source and the result of enriching WordNet with extended Wor...
| Autores: | , , |
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| Tipo de recurso: | informe técnico |
| Fecha de publicación: | 2013 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/99426 |
| Acceso en línea: | https://hdl.handle.net/2117/99426 |
| Access Level: | acceso abierto |
| Palabra clave: | Term extraction Domain terminology Wikipedia Wordnet Wordnet domains Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural |
| Sumario: | Domain terms are a useful mean for tuning both resources and NLP processors to domain specific tasks. This paper proposes an improved method for obtaining terms from potentially any domain using the Wikipedia graph structure as a knowledge source and the result of enriching WordNet with extended WordNet domains. |
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