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Event clustering within news articles

Örs, Faik Kerem and Yeniterzi, Süveyda and Yeniterzi, Reyyan (2020) Event clustering within news articles. In: Workshop on Automated Event Extraction of Socio-political Events from News (AESPEN2020), Marseille, France

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Official URL: https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/AESPEN2020book.pdf

Abstract

This paper summarizes our group’s efforts in the event sentence coreference identification shared task, which is organized as part of the Automated Extraction of Socio-Political Events from News (AESPEN) Workshop. Our main approach consists of three steps. We initially use a transformer based model to predict whether a pair of sentences refer to the same event or not. Later, we use these predictions as the initial scores and recalculate the pair scores by considering the relation of sentences in a pair with respect to other sentences. As the last step, final scores between these sentences are used to construct the clusters, starting with the pairs with the highest scores. Our proposed approach outperforms the baseline approach across all evaluation metrics.

Item Type:Papers in Conference Proceedings
Subjects:UNSPECIFIED
ID Code:40344
Deposited By:Reyyan Yeniterzi
Deposited On:19 Sep 2020 07:45
Last Modified:19 Sep 2020 07:45

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