Textual entailment recognition based on dependency analisys and WordNet
The UNED-NLP Group Recognizing Textual Entailment System is based on the use of a broad-coverage parser to extract dependency relations and a module which obtains lexical entailment relations from WordNet. The work aims at comparing whether the matching of dependency trees subestructures give better...
| Autores: | , , |
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| Formato: | artículo |
| Fecha de publicación: | 2005 |
| País: | España |
| Recursos: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | español |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/50113 |
| Acesso em linha: | https://hdl.handle.net/20.500.14352/50113 |
| Access Level: | acceso abierto |
| Palavra-chave: | Reconocimiento de implicación textual Análisis de dependencias Árbol de dependencias WordNet Textual entailment recognition Dependency analisys Dependency tree Inteligencia artificial (Informática) Lingüística 1203.04 Inteligencia Artificial 57 Lingüística |
| Resumo: | The UNED-NLP Group Recognizing Textual Entailment System is based on the use of a broad-coverage parser to extract dependency relations and a module which obtains lexical entailment relations from WordNet. The work aims at comparing whether the matching of dependency trees subestructures give better evidence of entailment than the matching of plain text alone. |
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