Answer interaction in non-factoid question answering systems

Chen Qu, Liu Yang, W. Bruce Croft, Falk Scholer, Yongfeng Zhang

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

3 Scopus citations

Abstract

Information retrieval systems are evolving from document retrieval to answer retrieval. Web search logs provide large amounts of data about how people interact with ranked lists of documents, but very little is known about interaction with answer texts. In this paper, we use Amazon Mechanical Turk to investigate three answer presentation and interaction approaches in a non-factoid question answering setting. We find that people perceive and react to good and bad answers very differently, and can identify good answers relatively quickly. Our results provide the basis for further investigation of effective answer interaction and feedback methods.

Original languageEnglish (US)
Title of host publicationCHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval
PublisherAssociation for Computing Machinery, Inc
Pages249-253
Number of pages5
ISBN (Electronic)9781450360258
DOIs
StatePublished - Mar 8 2019
Event4th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2019 - Glasgow, United Kingdom
Duration: Mar 10 2019Mar 14 2019

Publication series

NameCHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval

Conference

Conference4th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2019
CountryUnited Kingdom
CityGlasgow
Period3/10/193/14/19

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Human-Computer Interaction

Keywords

  • Answer interaction
  • Answer presentation
  • Information-seeking
  • Non-factoid question answering
  • User interaction

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  • Cite this

    Qu, C., Yang, L., Bruce Croft, W., Scholer, F., & Zhang, Y. (2019). Answer interaction in non-factoid question answering systems. In CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (pp. 249-253). (CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval). Association for Computing Machinery, Inc. https://doi.org/10.1145/3295750.3298946