Paper: Tree Kernel-based Negation and Speculation Scope Detection with Structured Syntactic Parse Features

ACL ID D13-1099
Title Tree Kernel-based Negation and Speculation Scope Detection with Structured Syntactic Parse Features
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

Scope detection is a key task in information ex- traction. This paper proposes a new approach for tree kernel-based scope detection by using the structured syntactic parse information. In addi- tion, we have explored the way of selecting compatible features for different part-of-speech cues. Experiments on the BioScope corpus show that both constituent and dependency structured syntactic parse features have the advantage in capturing the potential relationships between cues and their scopes. Compared with the state of the art scope detection systems, our system achieves substantial improvement.*