Are wikipedia resources useful for discovering answers to list questions within web snippets?

Resultado de la investigación: Conference contribution

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 originalEnglish
Título de la publicación alojadaWeb Information Systems and Technologies - 4th International Conference, WEBIST 2008, Revised Selected Papers
EditorialSpringer Verlag
Páginas174-185
Número de páginas12
Volumen18 LNBIP
ISBN (versión impresa)9783642013430
DOI
EstadoPublished - 2009
Evento4th International Conference on Web Information Systems and Technologies, WEBIST 2008 - Funchal, Madeira, Portugal
Duración: 4 may 20087 may 2008

Serie de la publicación

NombreLecture Notes in Business Information Processing
Volumen18 LNBIP
ISSN (versión impresa)18651348

Other

Other4th International Conference on Web Information Systems and Technologies, WEBIST 2008
PaísPortugal
CiudadFunchal, Madeira
Período4/05/087/05/08

Huella dactilar

Wikipedia
Search engines
Websites
Question Answering System
Resources
Search Engine
Facet
Query
World Wide Web
Search engine
Web sites
Question answering

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Management Information Systems
  • Business and International Management
  • Information Systems
  • Modelling and Simulation
  • Information Systems and Management

Citar esto

Figueroa, A. (2009). Are wikipedia resources useful for discovering answers to list questions within web snippets? En Web Information Systems and Technologies - 4th International Conference, WEBIST 2008, Revised Selected Papers (Vol. 18 LNBIP, pp. 174-185). (Lecture Notes in Business Information Processing; Vol. 18 LNBIP). Springer Verlag. https://doi.org/10.1007/978-3-642-01344-7_13
Figueroa, Alejandro. / Are wikipedia resources useful for discovering answers to list questions within web snippets?. Web Information Systems and Technologies - 4th International Conference, WEBIST 2008, Revised Selected Papers. Vol. 18 LNBIP Springer Verlag, 2009. pp. 174-185 (Lecture Notes in Business Information Processing).
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title = "Are wikipedia resources useful for discovering answers to list questions within web snippets?",
abstract = "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.",
keywords = "Distinct answers, List questions, Question answering, Web mining",
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Figueroa, A 2009, Are wikipedia resources useful for discovering answers to list questions within web snippets? En Web Information Systems and Technologies - 4th International Conference, WEBIST 2008, Revised Selected Papers. vol. 18 LNBIP, Lecture Notes in Business Information Processing, vol. 18 LNBIP, Springer Verlag, pp. 174-185, 4th International Conference on Web Information Systems and Technologies, WEBIST 2008, Funchal, Madeira, Portugal, 4/05/08. https://doi.org/10.1007/978-3-642-01344-7_13

Are wikipedia resources useful for discovering answers to list questions within web snippets? / Figueroa, Alejandro.

Web Information Systems and Technologies - 4th International Conference, WEBIST 2008, Revised Selected Papers. Vol. 18 LNBIP Springer Verlag, 2009. p. 174-185 (Lecture Notes in Business Information Processing; Vol. 18 LNBIP).

Resultado de la investigación: Conference contribution

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Figueroa A. Are wikipedia resources useful for discovering answers to list questions within web snippets? En Web Information Systems and Technologies - 4th International Conference, WEBIST 2008, Revised Selected Papers. Vol. 18 LNBIP. Springer Verlag. 2009. p. 174-185. (Lecture Notes in Business Information Processing). https://doi.org/10.1007/978-3-642-01344-7_13