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ACL
2004

Dependency Tree Kernels for Relation Extraction

9 years 4 months ago
Dependency Tree Kernels for Relation Extraction
We extend previous work on tree kernels to estimate the similarity between the dependency trees of sentences. Using this kernel within a Support Vector Machine, we detect and classify relations between entities in the Automatic Content Extraction (ACE) corpus of news articles. We examine the utility of different features such as Wordnet hypernyms, parts of speech, and entity types, and find that the dependency tree kernel achieves a 20% F1 improvement over a "bag-of-words" kernel.
Aron Culotta, Jeffrey S. Sorensen
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where ACL
Authors Aron Culotta, Jeffrey S. Sorensen
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