Experiments in passage selection and answer identification for question answering

Authors:
Horacio Saggion;Robert Gaizauskas
Affiliations:
Department of Computer Science, University of Sheffield, Sheffield, United Kingdom;Department of Computer Science, University of Sheffield, Sheffield, United Kingdom
Venue:
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Year:
2006

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Abstract

Question Answering (QA) aims at providing users with short text units that answer specific, well-formed natural language questions. A two stage architecture is widely adopted for this task consisting of a document retrieval step followed by an answer extraction step. In such an approach two main problems need to be addressed to reduce the search space: better selecting answer bearing passages in the document retrieval step and better pinpointing answers in the answer extraction step. We investigate the effect of word-based and linguistic-based features for the identification of answer-bearing sentences and answer candidates in a QA system and show that both play a significant role.