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

Alejandro Figueroa

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

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

Serie de la publicación

NombreProceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008

Otros

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

Áreas temáticas de ASJC Scopus

  • Inteligencia artificial
  • Informática aplicada
  • Software

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