Evita: a robust event recognizer for QA systems

Authors:
Roser Saurí;Robert Knippen;Marc Verhagen;James Pustejovsky
Affiliations:
Brandeis University, Waltham, MA;Brandeis University, Waltham, MA;Brandeis University, Waltham, MA;Brandeis University, Waltham, MA
Venue:
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Year:
2005

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Abstract

We present Evita, an application for recognizing events in natural language texts. Although developed as part of a suite of tools aimed at providing question answering systems with information about both temporal and intensional relations among events, it can be used independently as an event extraction tool. It is unique in that it is not limited to any pre-established list of relation types (events), nor is it restricted to a specific domain. Evita performs the identification and tagging of event expressions based on fairly simple strategies, informed by both linguistic-and statistically-based data. It achieves a performance ratio of 80.12% F-measure.