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Open-Domain Non-factoid Question Answering

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Text, Speech, and Dialogue (TSD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10415))

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Abstract

We present an end-to-end system for open-domain non-factoid question answering. We leverage the information on the ever-growing World Wide Web, and the capabilities of modern search engines to find the relevant information. Our QA system is composed of three components: (i) query formulation module (QFM) (ii) candidate answer generation module (CAGM) and (iii) answer selection module (ASM). A thorough empirical evaluation using two datasets demonstrates that the proposed approach is highly competitive.

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Notes

  1. 1.

    https://sites.google.com/site/trecliveqa2015/.

  2. 2.

    https://project-hobbit.eu/challenges/qald2017/.

  3. 3.

    https://pypi.python.org/pypi/html2text.

  4. 4.

    https://pypi.python.org/pypi/langdetect.

  5. 5.

    http://webscope.sandbox.yahoo.com.

  6. 6.

    The datasets will be shared after publication.

  7. 7.

    https://code.google.com/archive/p/word2vec/.

  8. 8.

    http://www.cs.cmu.edu/~alavie/METEOR/.

  9. 9.

    https://radimrehurek.com/gensim/models/doc2vec.html.

  10. 10.

    https://research.googleblog.com/2016/08/text-summarization-with-tensorflow.html.

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Author information

Authors and Affiliations

  1. Computer Science Department, San Francisco State University, 1600 Holloway Ave, San Francisco, CA, 94132, USA

    Maria Khvalchik & Anagha Kulkarni

Authors
  1. Maria Khvalchik
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  2. Anagha Kulkarni
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Corresponding author

Correspondence to Maria Khvalchik .

Editor information

Editors and Affiliations

  1. University of West Bohemia, Pilsen, Czech Republic

    Kamil Ekštein

  2. University of West Bohemia, Pilsen, Czech Republic

    Václav Matoušek

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Khvalchik, M., Kulkarni, A. (2017). Open-Domain Non-factoid Question Answering. In: Ekštein, K., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2017. Lecture Notes in Computer Science(), vol 10415. Springer, Cham. https://doi.org/10.1007/978-3-319-64206-2_33

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  • DOI: https://doi.org/10.1007/978-3-319-64206-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64205-5

  • Online ISBN: 978-3-319-64206-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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