An answer validation concept based approach for question answering in biomedical domain

Wen-Juan Hou, Bing Han Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the continuously growing literatures in the biomedical domain, it is not feasible for researchers to manually go through all information for answering questions. The task of making knowledge contained in texts in forms that machines can use for automated processing is more and more important. This paper describes a system to answer multiple-choice questions for the biomedical domain while reading a given document. In this study, we use the data from the pilot task "machine reading of biomedical texts about Alzheimer's disease" which is a task of the Question Answering for Machine Reading Evaluation (QA4MRE) Lab at CLEF 2012. We adapt the concept of answer validation that assumes the over-generation hypotheses will be checked in the validation step. In the following, the query expansion technique "global analysis" is applied. The best result is 0.51 c@1 score which is clearly above the baseline at CLEF 2012 and shows an exhilarating performance.

Original languageEnglish
Title of host publicationModern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings
EditorsMoonis Ali, Shyi-Ming Chen, Jeng-Shyang Pan, Mong-Fong Horng
PublisherSpringer Verlag
Pages148-159
Number of pages12
ISBN (Electronic)9783319074542
Publication statusPublished - 2014 Jan 1
Event27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014 - Kaohsiung, Taiwan
Duration: 2014 Jun 32014 Jun 6

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume8481
ISSN (Print)0302-9743

Conference

Conference27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014
CountryTaiwan
CityKaohsiung
Period14/6/314/6/6

Keywords

  • Answer validation
  • Query expansion
  • Question answering for machine reading evaluation
  • Question answering system

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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