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A graph model with integrated pattern and query-based technique for extracting answer to questions in community question answering system

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Abstract

This paper presents an extension of the community question-answering (CQA) system we developed previously. This graph-based system method that builds ranked answers for related questions using nKullback–Leibler (KL) divergence. The process of extracting answers to questions in this work involves; question core, building question query, query-based answer extraction (QBAE), pattern-based answer extraction (PBAE), and combined answer extraction. The source data for this work were existing data from ResearchGate, a socio-academic networking website that provides researchers the platform to collaborate, ask questions, and offer answers to questions. The performance for answer extraction for 2786 questions shows that when 80% of patterns and keywords were considered, QBAE and PBAE extracted 2765 and 2766 correct answers, respectively, while the QBAE + PBAE method extracted 2782 correct answers. Also, when 90% of patterns and keywords were utilized, QBAE and PBAE extracted 2782 and 2784 correct answers, whereas the QBAE + PBAE method extracted 2786 correct answers. Our method was able to identify 229 questions without answers. Finally, the evaluation of our model reveals high-performance accuracy and precision.

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Funding

The research was partly funded by the COMSTEC-TWAS Joint Research Grants Programme 14–014 RG/TC/ITC/AF/AC_C- UNESCO FR: 3240283404.

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Authors and Affiliations

  1. Department of Information Systems, Federal University of Technology, Akure, Nigeria

    Bolanle Ojokoh

  2. Center for Diabetes Technology, Department of Psychiatry and Neurobehavioral Sciences., University of Virginia, Charlottesville, USA

    Tobore Igbe

  3. Department of Computer Science, Federal University of Technology, Akure, Nigeria

    Bamidele Afolabi

  4. Department of Information Technology, Federal University of Technology, Akure, Nigeria

    Oladunni Daramola

Authors
  1. Bolanle Ojokoh
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  2. Tobore Igbe
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  3. Bamidele Afolabi
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  4. Oladunni Daramola
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Contributions

BO: conceived and designed the work, and edited the manuscript, Tobore Igbe carried out the implementation of the design, and wrote part of the main manuscript, BA: contributed to the design and wrote part of the main manuscript, OD: edited the manuscript

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Correspondence to Bolanle Ojokoh.

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Ojokoh, B., Igbe, T., Afolabi, B. et al. A graph model with integrated pattern and query-based technique for extracting answer to questions in community question answering system. Soc. Netw. Anal. Min. 13, 45 (2023). https://doi.org/10.1007/s13278-023-01046-3

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