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2018 | OriginalPaper | Buchkapitel

Identity and Granularity of Events in Text

verfasst von : Piek Vossen, Agata Cybulska

Erschienen in: Computational Linguistics and Intelligent Text Processing

Verlag: Springer International Publishing

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Abstract

In this paper we describe a method to detect event descriptions 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 component 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 semantic anomaly could be used to define differences between coreference, subevent and topical relations.

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We left out the document creation time as a baseline time-anchor because it may interfer with the task since the articles on each seminal event were published on different dates.

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Titel: Identity and Granularity of Events in Text
verfasst von: Piek Vossen
Agata Cybulska
Verlag: Springer International Publishing
Buch: Computational Linguistics and Intelligent Text Processing
Print ISBN: 978-3-319-75486-4

Electronic ISBN: 978-3-319-75487-1

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-75487-1_39

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