Mining wikipedia resources for discovering answers to list questions in web snippets

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferencia

1 Cita (Scopus)

Resumen

This paper presents LiSnQA, a list question answering system that extracts answers to list queries from the short descriptions of web-sites returned by search engines, called web snippets. LiSnQA mines Wikipedia resources in order to obtain valuable information that assists in the extraction of these answers. The interesting facet of LiSnQA is, that in contrast to current systems, it does not account for lists in Wikipedia, but for its redirections, categories, sandboxes, and first definition sentences. Results show that these resources strengthen the answering process.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008
Páginas133-140
Número de páginas8
DOI
EstadoPublicada - 2008
Evento4th International Conference on Semantics, Knowledge, and Grid, SKG 2008 - Beijing, China
Duración: 3 dic 20085 dic 2008

Otros

Otros4th International Conference on Semantics, Knowledge, and Grid, SKG 2008
PaísChina
CiudadBeijing
Período3/12/085/12/08

Áreas temáticas de ASJC Scopus

  • Inteligencia artificial
  • Informática aplicada
  • Software

Huella Profundice en los temas de investigación de 'Mining wikipedia resources for discovering answers to list questions in web snippets'. En conjunto forman una huella única.

  • Citar esto

    Figueroa, A. (2008). Mining wikipedia resources for discovering answers to list questions in web snippets. En Proceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008 (pp. 133-140). [4725906] https://doi.org/10.1109/SKG.2008.31