Question answering system for frequently asked questions

Divyanshu Bhardwaj, Partha Pakray, Jereemi Bentham, Saurav Saha, Alexander Gelbukh

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Question Answering (QA) is an important aspect of Natural Language Processing. It comprises building a system that automatically answers questions sought in natural language. Frequently Asked Questions (FAQs) are a set of listed questions and answers concerning a specific topic, which are most likely to be enquired by a user. This paper deals with developing an open domain QA system for retrieving a list of relevant FAQs related to the query issued by the user. Our approach combines the orthodox AND/OR searching with the Combinatorics searching technique which is able to produce an exhaustive list of results for a particular query generated.

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