Paper: Animacy Detection with Voting Models

ACL ID D13-1006
Title Animacy Detection with Voting Models
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013

Animacy detection is a problem whose solu- tion has been shown to be beneficial for a number of syntactic and semantic tasks. We present a state-of-the-art system for this task which uses a number of simple classifiers with heterogeneous data sources in a voting scheme. We show how this framework can give us direct insight into the behavior of the system, allowing us to more easily diagnose sources of error.