A literature survey on question answering system in natural language processing

  • Authors

    • A Clementeena
    • Dr P. Sripriya
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.14209
  • Natural Language Processing (NlP), Semantic Knowledge, Pragmatic Knowledge, Syntactic Knowledge.

  • Abstract

    In order to respond to usual free form of questions that is contained in a large collection of informative texts or information. For this to hap-pen one must understand what type of questions are being imposed and thus to also know a few knowledge about the process. The con-straints will include the semantic and syntactic knowledge and framing that sort of question with possible correct answers. Thus this paper gives you a clear vision of how its being worked on question answering and thus it presents a machine learning approach. Also ways a important way of giving answers to closed domain in a different data set of know.

     

  • References

    1. [1] Chowdhury, Gobinda G. "Natural language processing." Annual review of information science and technology 37.1 (2003): 51-89.

      [2] Liddy, Elizabeth D. "Natural language processing." (2001).

      [3] Spyns, P. "Natural language processing." Methods of information in medicine35.4 (1996): 285-301.

      [4] Grishman, Ralph. "Natural language processing." Journal of the Association for Information Science and Technology 35.5 (1984): 291-296.

      [5] Hirschman, Lynette, and Robert Gaizauskas. "Natural language question answering: the view from here." natural language engineering 7.4 (2001): 275-300.

      [6] Burke, Robin D., et al. "Question answering from frequently asked question files: Experiences with the faq finder system." AI magazine 18.2 (1997): 57.

      [7] Lehnert, Wendy G. Strategies for natural language processing. Psychology Press, 2014.

      [8] Covington, Michael A. Natural language processing for Prolog programmers. Englewood Cliffs (NJ): Prentice hall, 1994.

      [9] Lehnert, Wendy G. The Process of Question Answering. No. RR-88. YALE UNIV NEW HAVEN CONN DEPT OF COMPUTER SCIENCE, 1977.

      [10] Moldovan, Dan, et al. "The structure and performance of an open-domain question answering system." Proceedings of the 38th Annual Meeting on Association for Computational Linguistics. Association for Computational Linguistics, 2000.

      [11] Sowa, John F. Knowledge representation: logical, philosophical, and computational foundations. Vol. 13. Pacific Grove: Brooks/Cole, 2000.

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  • How to Cite

    Clementeena, A., & P. Sripriya, D. (2018). A literature survey on question answering system in natural language processing. International Journal of Engineering & Technology, 7(2.33), 452-455. https://doi.org/10.14419/ijet.v7i2.33.14209

    Received date: 2018-06-17

    Accepted date: 2018-06-17

    Published date: 2018-06-08