CLOSED DOMAIN QUESTION ANSWERING SYSTEM USING NLP TECHNIQUES

Abstract

 Question Answering (QA) system in information retrieval is a task of automatically answering a correct answer to the questions asked by human in natural language using either a pre-structured database or a collection of natural language documents. It presents only the requested information instead of searching full documents like search engine. This paper presents the implementation methods and experimental result with analysis for closed domain QA System which handle only documents related to education system to retrieve more precise answers using NLP techniques.

Authors and Affiliations

Sweta P. Lende*

Keywords

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  • EP ID EP138571
  • DOI 10.5281/zenodo.49808
  • Views 67
  • Downloads 0

How To Cite

Sweta P. Lende* (30).  CLOSED DOMAIN QUESTION ANSWERING SYSTEM USING NLP TECHNIQUES. International Journal of Engineering Sciences & Research Technology, 5(4), 632-639. https://europub.co.uk/articles/-A-138571