BoschAI @ Causal News Corpus 2023: robust cause-effect span extraction using multi-layer sequence tagging and data augmentation

  • Understanding causality is a core aspect of intelligence. The Event Causality Identification with Causal News Corpus Shared Task addresses two aspects of this challenge: Subtask 1 aims at detecting causal relationships in texts, and Subtask 2 requires identifying signal words and the spans that refer to the cause or effect, respectively. Our system, which is based on pre-trained transformers, stacked sequence tagging, and synthetic data augmentation, ranks third in Subtask 1 and wins Subtask 2 with an F1 score of 72.8, corresponding to a margin of 13 pp. to the second-best system.

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Metadaten
Author:Timo Pierre Schrader, Simon Razniewski, Lukas Lange, Annemarie FriedrichORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1266972
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/126697
URL:https://aclanthology.org/2023.case-1.5/
ISBN:978-954-452-089-2OPAC
Parent Title (English):Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, associated with the 14th International Conference on Recent Advances in Natural Language Processing RANLP'2023, 7 September 2023, Varna, Bulgaria
Publisher:INCOMA
Place of publication:Shoumen
Editor:Ali Hürriyetoğlu, Hristo Tanev, Vanni Zavarella, Reyyan Yeniterzi, Erdem Yörük, Milena Slavcheva
Type:Conference Proceeding
Language:English
Date of Publication (online):2025/12/02
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2025/12/03
First Page:38
Last Page:43
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Computerlinguistik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung

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