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Question answering system can be seen as the next step in informationretrieval, allowing users to pose question in natural language and receivecompact answers. For the Question answering system to be successful, researchhas shown that the correct classification of question with respect to theexpected answer type is requisite. We propose a novel architecture for questionclassification and searching in the index, maintained on the basis of expectedanswer types, for efficient question answering. The system uses the criteriafor Answer Relevance Score for finding the relevance of each answer returned bythe system. On analysis of the proposed system, it has been found that thesystem has shown promising results than the existing systems based on questionclassification.

A Novel Architecture For Question Classification Based Indexing Scheme For Efficient Question Answering