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Research Paper | Computer Science & Engineering | India | Volume 3 Issue 5, May 2014

Question Answering System

Shekhar Nalawade | Shivraj Kumar | Deepak Tiwari

Abstract: Question answering systems have become increasingly popular because they deliver users short; succinct answers instead of overloading them with a large number of irrelevant documents. Question Answering (QA) is a specialized form of information retrieval. Given a collection of documents; a Question Answering system attempts to retrieve the right answers to questions posed in natural language. In order for question answering systems to benefit from this vast store of useful knowledge; they must copy with large volumes of useless data. Question Answering systems (QA) uses natural language processing (NLP) techniques to process a question; then searches for the required information to identify the answer and presents the answer to the user. The Web is vastly larger in size and boasts incredible data redundancy; which renders it amenable to statistical techniques for answer extraction. The data-driven approach can yield high levels of performance and nicely complements traditional question answering techniques driven by information extraction. By organizing these resources and annotating them with natural language; we can successfully incorporate Web knowledge into question answering.

Keywords: Question answering system, Classification, Information retrieval, Answer extraction Information retrieval, databases, crawler, Tokens, Seed URL

Edition: Volume 3 Issue 5, May 2014,

Pages: 439 - 440

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