Abstract
In this paper we investigate the use of surface text patterns for a Maximum Entropy based Question Answering (QA) system. These text patterns are collected automatically in an unsupervised fashion using a collection of trivia question and answer pairs as seeds. These patterns are used to generate features for a statistical question answering system. We report our results on the TREC-10 question set.
Cite
CITATION STYLE
Ravichandran, D., Ittycheriah, A., & Roukos, S. (2003). Automatic derivation of surface text patterns for a maximum entropy based question answering system. In Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics - Short Papers, HLT-NAACL 2003 (pp. 85–87). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1073483.1073512
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