Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJARAI.2012.010204
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 1 Issue 2, 2012.
Abstract: Question Answering System [QAS] generates answer to various questions imposed by users. The QAS uses documents or knowledge base for extracting the answers to factoid questions and conceptual questions. Use of Frequently Asked Question (FAQ) base gives a satisfying results to QAS, but the limitation with FAQ base system is in the preparation of Question and Answer set as most of the questions are not predetermined.QAS using FAQ base fails if no semantically related questions are found in base, corresponding to the input question. This demands an automatic answering system as backup, which generates answer especially to conceptual questions. The work presented here gives a framework for automatic generation of answers to conceptual question especially “what”, “why” and “how” type for frequently asked based, Question Answering System and in terms gradually builds up the FAQ base.
Saurabh Pal, Sudipta Bhattacharya, Indrani Datta, Arindam Chakravorty and , “A Framework for automatic generation of answers to conceptual questions in Frequently Asked Question (FAQ) based Question Answering System” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(2), 2012. http://dx.doi.org/10.14569/IJARAI.2012.010204