Volume 7 Issue 4 - November 2016

  • 1. Review: hindi question answering system using machine learning approach

    Authors : Garima Nanda

    Pages : 254-258

    DOI : http://dx.doi.org/10.21172/1.74.035

    Keywords : Machine LearningClassificationQuestion Answering SystemNaïve Bayes

    Abstract :

    As an upshot of Natural Language Interface to Database (NLIDB), Question Answering System is relatively an Information Retrieval system which is suppose to reflect the user with the correct or closest results to the query being asked to the system in natural language. Information Retrieval and Information Extraction plays vital role in accomplishing the task of interaction between the user and the system. The paper discusses various ways and techniques of interaction between the user and the system along with different approaches. Machine Learning is one of the approaches which is preferred for the Question Answering System. Out of Supervised and unsupervised learning, supervised learning is taken priority here by going through numerous other techniques.

    Citing this Journal Article :

    Garima Nanda, "Review: hindi question answering system using machine learning approach", https://www.ijltet.org/journal_details.php?id=909&j_id=3531, Volume 7 Issue 4 - November 2016, 254-258, #ijltetorg