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Merging and re-ranking answers from distributed multiple web sources

  • Hyo Jung Oh*
  • , Jeong Hur
  • , Chung Hee Lee
  • , Pum Mo Ryu
  • , Yeo Chan Yoon
  • , Hyunki Kim
  • *Corresponding author for this work
  • Electronics and Telecommunications Research Institute

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Depending on questions, various answering methods and answer sources can be used. In this paper, we build a distributed QA system to handle different types of questions and web sources. When a user question is entered, the broker distributes the question over multiple sub-QAs according to question types. The selected sub-QAs find local optimal candidate answers, and then they are collected in to the answer manager. The merged candidates are re-ranked by adjusting confidence weights based on the question analysis result. The re-ranking algorithm aims to find global optimal answers. We borrow the concept from the margin and slack variables in SVM, and modify to project confidence weights into the same boundary by training. Several experimental results prove reliability of our proposed QA model.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011
Pages143-146
Number of pages4
DOIs
StatePublished - 2011
Event2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011 - Lyon, France
Duration: 2011.08.222011.08.27

Publication series

NameProceedings - 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011
Volume3

Conference

Conference2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011
Country/TerritoryFrance
CityLyon
Period11.08.2211.08.27

Keywords

  • Answer selection
  • Question answering
  • Re-ranking

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