Abstract

In order to answer factoid questions, the Webclopedia QA system employs a range of knowledge resources. These include a QA Typology with answer patterns, WordNet, information about typical numerical answer ranges, and semantic relations identified by a robust parser, to filter out likely-looking but wrong candidate answers. This paper describes the knowledge resources and their impact on system performance.

Date

2002

Authors

Eduard Hovy, Ulf Hermjakob, Chin-Yew Lin, Deepak Ravichandran

Conference

COLING 2002: The 19th International Conference on Computational Linguistics