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Conference Paper: Building on Redundancy: Factoid Question Answering, Robust Retrieval and the "Other"

TitleBuilding on Redundancy: Factoid Question Answering, Robust Retrieval and the "Other"
Authors
Issue Date2005
Citation
The 14th Text REtrieval Conference (TREC 2005), Gaithersburg, MD, 15-18 November 2005 How to Cite?
AbstractWe have explored how redundancy based techniques can be used in improving factoid question answering, definitional questions (“other”), and robust retrieval. For the factoids, we explored the meta approach: we submit the questions to the several open domain question answering systems available on the Web and applied our redundancy-based triangulation algorithm to analyze their outputs in order to identify the most promising answers. Our results support the added value of the meta approach: the performance of the combined system surpassed the underlying performances of its components. To answer definitional (“other”) questions, we were looking for the sentences containing re-occurring pairs of noun entities containing the elements of the target. For robust retrieval, we applied our redundancy based Internet mining technique to identify the concepts (single word terms or phrases) that were highly related to the topic (query) and expanded the queries with them. All our results are above the mean performance in the categories in which we have participated, with one of our robust runs being the best in its category among all 24 participants. Overall, our findings support the hypothesis that using as much as possible textual data, specifically such as mined from the World Wide Web, is extremely promising.
Persistent Identifierhttp://hdl.handle.net/10722/112219

 

DC FieldValueLanguage
dc.contributor.authorRoussinov, Den_HK
dc.contributor.authorFilatova, Een_HK
dc.contributor.authorChau, MCLen_HK
dc.contributor.authorRobles-Flores, JAen_HK
dc.date.accessioned2010-09-26T03:22:45Z-
dc.date.available2010-09-26T03:22:45Z-
dc.date.issued2005en_HK
dc.identifier.citationThe 14th Text REtrieval Conference (TREC 2005), Gaithersburg, MD, 15-18 November 2005-
dc.identifier.urihttp://hdl.handle.net/10722/112219-
dc.description.abstractWe have explored how redundancy based techniques can be used in improving factoid question answering, definitional questions (“other”), and robust retrieval. For the factoids, we explored the meta approach: we submit the questions to the several open domain question answering systems available on the Web and applied our redundancy-based triangulation algorithm to analyze their outputs in order to identify the most promising answers. Our results support the added value of the meta approach: the performance of the combined system surpassed the underlying performances of its components. To answer definitional (“other”) questions, we were looking for the sentences containing re-occurring pairs of noun entities containing the elements of the target. For robust retrieval, we applied our redundancy based Internet mining technique to identify the concepts (single word terms or phrases) that were highly related to the topic (query) and expanded the queries with them. All our results are above the mean performance in the categories in which we have participated, with one of our robust runs being the best in its category among all 24 participants. Overall, our findings support the hypothesis that using as much as possible textual data, specifically such as mined from the World Wide Web, is extremely promising.-
dc.languageengen_HK
dc.relation.ispartofThe 14th Text REtrieval Conference (TREC 2005) Proceedingsen_HK
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleBuilding on Redundancy: Factoid Question Answering, Robust Retrieval and the "Other"en_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChau, MCL: mchau@business.hku.hken_HK
dc.identifier.authorityChau, MCL=rp01051en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.scopuseid_2-s2.0-84873556255-
dc.identifier.hkuros121265en_HK

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