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33

CLEF
2010
Springer

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Question Answering System: Retrieving Relevant Passages

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Question Answering System: Retrieving Relevant Passages

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This paper discusses the QA system submitted by Dhirubhai Ambani Institute of Information and Communication Technology, India in the ResPubliQA 2010. We have participated in the monolingual en-en task. Our system retrieves a candidate paragraph that contains the answer to a natural language question. Depending on the n-gram similarity score of the candidate paragraph, a decision is made whether to answer the question or not. The objective of our participation is to test our implementation of various strategies like Query Expansion, n-gram similarity matching, and non-answering criteria.

Hitesh Sabnani, Prasenjit Majumder

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Candidate Paragraph | CLEF 2010 | Dhirubhai Ambani Institute Of Information And Communication Technology | Information Technology | N-gram Similarity |

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Added	08 Nov 2010
Updated	08 Nov 2010
Type	Conference
Year	2010
Where	CLEF
Authors	Hitesh Sabnani, Prasenjit Majumder

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