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Open-Domain Web-Based List Question Answering with LX-ListQuestion

Published: 02 June 2014 Publication History

Abstract

Research in the field of Question Answering (QA) has experienced many advances. However, the development of QA systems continues to be a challenging task. We present a QA Web Application, LX-ListQuestion that focuses on answering list questions where the answers are extracted and composed from several documents retrieved from the Web. The system exploits the redundancy of information available in the Web, combined with word occurrence patterns to improve QA accuracy. Answers are presented in the form of a Word Cloud that uses font size to depict relevance. This paper addresses the main problems that must be dealt with when answering list questions and describes the architecture of the system. We also present an experimental evaluation using a set of questions from QA competition.

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Cited By

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  • (2016)A Comparative Evaluation of QA Systems over List QuestionsComputational Processing of the Portuguese Language10.1007/978-3-319-41552-9_11(115-121)Online publication date: 21-Jun-2016

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Published In

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WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)
June 2014
506 pages
ISBN:9781450325387
DOI:10.1145/2611040
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Aristotle University of Thessaloniki

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 June 2014

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Author Tags

  1. List Question
  2. Web System
  3. Web as Corpus

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  • Research-article
  • Research
  • Refereed limited

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WIMS '14

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WIMS '14 Paper Acceptance Rate 41 of 90 submissions, 46%;
Overall Acceptance Rate 140 of 278 submissions, 50%

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  • (2016)A Comparative Evaluation of QA Systems over List QuestionsComputational Processing of the Portuguese Language10.1007/978-3-319-41552-9_11(115-121)Online publication date: 21-Jun-2016

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