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2003

An Improved Extraction Pattern Representation Model for Automatic IE Pattern Acquisition

11 years 8 months ago
An Improved Extraction Pattern Representation Model for Automatic IE Pattern Acquisition
Several approaches have been described for the automatic unsupervised acquisition of patterns for information extraction. Each approach is based on a particular model for the patterns to be acquired, such as a predicate-argument structure or a dependency chain. The effect of these alternative models has not been previously studied. In this paper, we compare the prior models and introduce a new model, the Subtree model, based on arbitrary subtrees of dependency trees. We describe a discovery procedure for this model and demonstrate experimentally an improvement in recall using Subtree patterns.
Kiyoshi Sudo, Satoshi Sekine, Ralph Grishman
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where ACL
Authors Kiyoshi Sudo, Satoshi Sekine, Ralph Grishman
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