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Quora Question Answer Dataset

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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 report on a progressing work for compiling Quora Question Answer dataset. Quora dataset is composed of questions which are posed in Quora Question Answering site. It is the only dataset which provides sentence-level and word-level answers at the same time. Moreover, the questions in the dataset are authentic which is much more realistic for Question Answering systems. We test the performance of a state-of-the-art Question Answering system on the dataset and compare it with human performance to establish an upper bound.

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Notes

  1. 1.

    Quora dataset is available at https://github.com/Q2AD.

  2. 2.

    The choice of development size is given to the preference of researchers and the attributes of their experiments.

  3. 3.

    Some users in Quora provides their questions with a comment which helps to clarify the question better.

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Acknowledgments

This research was partially funded by the Ministry of Education, Youth and Sports of the Czech Republic under SVV project number 260 453, core research funding, and GAUK 207-10/250098 of Charles University in Prague.

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Authors and Affiliations

  1. Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics, Charles University in Prague, Malostranske nam. 25, 11800, Praha 1, Czech Republic

    Ahmad Aghaebrahimian

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  1. Ahmad Aghaebrahimian
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Correspondence to Ahmad Aghaebrahimian .

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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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Aghaebrahimian, A. (2017). Quora Question Answer Dataset. 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_8

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  • DOI: https://doi.org/10.1007/978-3-319-64206-2_8

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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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