Question classification with log-linear models

Authors:
Phil Blunsom;Krystle Kocik;James R. Curran
Affiliations:
University of Melbourne, Victora, Australia;University of Sydney, Australia;University of Sydney, Australia
Venue:
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2006

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Abstract

Question classification has become a crucial step in modern question answering systems. Previous work has demonstrated the effectiveness of statistical machine learning approaches to this problem. This paper presents a new approach to building a question classifier using log-linear models. Evidence from a rich and diverse set of syntactic and semantic features is evaluated, as well as approaches which exploit the hierarchical structure of the question classes.