Paper: Relation Acquisition using Word Classes and Partial Patterns

ACL ID D11-1076
Title Relation Acquisition using Word Classes and Partial Patterns
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2011

This paper proposes a semi-supervised rela- tion acquisition method that does not rely on extraction patterns (e.g. “X causes Y” for causal relations) but instead learns a combi- nation of indirect evidence for the target re- lation — semantic word classes and partial patterns. This method can extract long tail instances of semantic relations like causality from rare and complex expressions in a large JapaneseWebcorpus—inextremecases, pat- terns that occur only once in the entire cor- pus. Suchpatternsarebeyondthereachofcur- rent pattern based methods. We show that our method performs on par with state-of-the-art pattern based methods, and maintains a rea- sonable level of accuracy even for instances acquired from infrequent patterns. This abil- ity to acquire long tail instances i...