Word/phrase based answer type classification for Bengali question answering system

Md Aminul Islam, Md Fasihul Kabir, Khandaker Abdullah-Al-Mamun, Mohammad Nurul Huda

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

    5 Scopus citations

    Abstract

    This paper work demonstrated an analytical ability of question answer type classification steps towards building a question answering system in Bengali language. In order to respond correctly to a free form factoid question or complex questions given a large collection of corpus, one needs to understand the question category that allows determining some of the constraints the question imposes on a possible answer. Question classification (QC) Systems allows the user to ask questions in a natural language and acquire a correct answer category (AC). This work presents the first work on a machine learning approach to Bengali question classification using stochastic gradient descent (SGD) classifier method. Stochastic gradient descent is a gradient descent optimization method for minimizing an objective function that is written as a sum of differentiable functions. Our system based on stochastic gradient descent (SGD) classifier achieved average precision 0.95562 for coarse and 0.87646 for finer.

    Original languageEnglish (US)
    Title of host publication2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages445-448
    Number of pages4
    ISBN (Electronic)9781509012695
    DOIs
    StatePublished - Nov 28 2016
    Event5th International Conference on Informatics, Electronics and Vision, ICIEV 2016 - Dhaka, Bangladesh
    Duration: May 13 2016May 14 2016

    Publication series

    Name2016 5th International Conference on Informatics, Electronics and Vision, ICIEV 2016

    Conference

    Conference5th International Conference on Informatics, Electronics and Vision, ICIEV 2016
    CountryBangladesh
    CityDhaka
    Period5/13/165/14/16

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Artificial Intelligence
    • Computer Science Applications
    • Computer Vision and Pattern Recognition
    • Human-Computer Interaction
    • Information Systems
    • Electrical and Electronic Engineering
    • Instrumentation

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