Paper: Investigating Statistical Techniques for Sentence-Level Event Classification

ACL ID C08-1078
Title Investigating Statistical Techniques for Sentence-Level Event Classification
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Sum- marisation. In this paper, we treat event detection as a sentence level text classifi- cation problem. We compare the perfor- mance of two approaches to this task: a Support Vector Machine (SVM) classifier and a Language Modeling (LM) approach. We also investigate a rule based method that uses hand crafted lists of terms derived from WordNet. These terms are strongly associated with a given event type, and can be used to identify sentences describing in- stances of that type. We use two datasets in our experiments, and evaluate each tech- nique on six distinct event types. Our re- sults indicate that the SVM consistently outpe...