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Improving the Precision of a Closed-Domain Question-Answering System with Semantic Information

8 years 7 months ago
Improving the Precision of a Closed-Domain Question-Answering System with Semantic Information
This paper presents our experiments in applying semantic information to improve the precision of the information retrieval module in a closed-domain question-answering system. That system aims at replying questions on services offered by a large company, here Bell Canada. Our approach consists in finding a set of special terms and building an ontological concept hierarchy, which can effectively characterize the relevance of a retrieved candidate to its corresponding question. Combining these two kinds of semantic information with the information retrieval module has resulted in very good improvements.
Hai Doan-Nguyen, Leila Kosseim
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where RIAO
Authors Hai Doan-Nguyen, Leila Kosseim
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