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Tan, Fiona Anting, Hettiarachchi, Hansi, Hürriyetoğlu, Ali, Oostdijk, Nelleke, Uca, Onur, Thapa, Surendrabikram and Liza, Farhana Ferdousi 
ORCID: https://orcid.org/0000-0003-4854-5619
(2023)
Event Causality Identification - Shared Task 3, CASE 2023.
In:
CASE 2023 - Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, associated with 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023.
Incoma Ltd, BGR, pp. 144-150.
ISBN 9789544520892
Abstract
The Event Causality Identification Shared Task of CASE 2023 is the second iteration of a shared task centered around the Causal News Corpus. Two subtasks were involved: In Subtask 1, participants were challenged to predict if a sentence contains a causal relation or not. In Subtask 2, participants were challenged to identify the Cause, Effect, and Signal spans given an input causal sentence. For both subtasks, participants uploaded their predictions for a held-out test set, and ranking was done based on binary F1 and macro F1 scores for Subtask 1 and 2, respectively. This paper includes an overview of the work of the ten teams that submitted their results to our competition and the six system description papers that were received. The highest F1 scores achieved for Subtask 1 and 2 were 84.66% and 72.79%, respectively.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Publisher Copyright: © CASE 2023 - Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, associated with 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023. |
| Uncontrolled Keywords: | causal event classification,causal news corpus,cause-effect-signal span detection,computational theory and mathematics,computer science applications,information systems ,/dk/atira/pure/subjectarea/asjc/1700/1703 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 01 Oct 2024 17:30 |
| Last Modified: | 10 Dec 2024 01:14 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/96855 |
| DOI: | 10.26615/978-954-452-089-2_019 |
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