SURVEY ON QUESTION ANSWERING SYSTEM.

Abstract

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. Generally question answering system (QAS) has three components such as question classification, information retrieval, and answer extraction. These components play a vital role in QAS. Question classification play primary role in QA system to classify the question based on the type of its entity. Information retrieval technique is take of identify success by extracting out relevant answer posted by their intelligent question answering system. Finally, answer extraction module is emerging topics in the QAS where these systems are often requiring ranking and validating a candidate’s answer. This paper provides a brief discussion about different type of QAS and method has been used in these systems. In addition this article describes a new architecture for QAS which will be different from most QAS and its analyzer suitable QAS to find precise answer to user question.