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ACL
2009

Generalizing Dependency Features for Opinion Mining

10 years 9 months ago
Generalizing Dependency Features for Opinion Mining
We explore how features based on syntactic dependency relations can be utilized to improve performance on opinion mining. Using a transformation of dependency relation triples, we convert them into "composite back-off features" that generalize better than the regular lexicalized dependency relation features. Experiments comparing our approach with several other approaches that generalize dependency features or ngrams demonstrate the utility of composite back-off features.
Mahesh Joshi, Carolyn Penstein Rosé
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where ACL
Authors Mahesh Joshi, Carolyn Penstein Rosé
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