Identity and Granularity of Events in Text
April 13, 2017 ยท Declared Dead ยท ๐ Conference on Intelligent Text Processing and Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Piek Vossen, Agata Cybulska
arXiv ID
1704.04259
Category
cs.CL: Computation & Language
Citations
12
Venue
Conference on Intelligent Text Processing and Computational Linguistics
Last Checked
4 months ago
Abstract
In this paper we describe a method to detect event descrip- tions in different news articles and to model the semantics of events and their components using RDF representations. We compare these descriptions to solve a cross-document event coreference task. Our com- ponent approach to event semantics defines identity and granularity of events at different levels. It performs close to state-of-the-art approaches on the cross-document event coreference task, while outperforming other works when assuming similar quality of event detection. We demonstrate how granularity and identity are interconnected and we discuss how se- mantic anomaly could be used to define differences between coreference, subevent and topical relations.
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