Paper: Automatically Extracting Nominal Mentions Of Events With A Bootstrapped Probabilistic Classifier

ACL ID P06-2022
Title Automatically Extracting Nominal Mentions Of Events With A Bootstrapped Probabilistic Classifier
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

Most approaches to event extraction focus on mentions anchored in verbs. However, many mentions of events surface as noun phrases. Detecting them can increase the recall of event extraction and provide the foundation for detecting relations between events. This paper describes a weakly- supervised method for detecting nominal event mentions that combines techniques from word sense disambiguation (WSD) andlexicalacquisitiontocreateaclassifier thatlabelsnounphrasesasdenotingevents or non-events. The classifier uses boot- strapped probabilistic generative models of the contexts of events and non-events. Thecontextsarethelexically-anchoredse- mantic dependency relations that the NPs appear in. Our method dramatically im- proves with bootstrapping, and comfort- ably outperforms lexical lookup m...