Event Causality Identification - Shared Task 3, CASE 2023 - Research Portal

Computing and Communications

Event Causality Identification - Shared Task 3, CASE 2023

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published

Standard

Event Causality Identification - Shared Task 3, CASE 2023. / Tan, Fiona Anting; Hettiarachchi, Hansi; Hürriyetoğlu, Ali et al.
Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text. Shoumen, Bulgaria: INCOMA Ltd, 2023. p. 144-150.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Tan, FA, Hettiarachchi, H, Hürriyetoğlu, A, Oostdijk, N, Uca, O, Thapa, S & Liza, FF 2023, Event Causality Identification - Shared Task 3, CASE 2023. in Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text. INCOMA Ltd, Shoumen, Bulgaria, pp. 144-150. <https://aclanthology.org/2023.case-1.19>

APA

Tan, F. A., Hettiarachchi, H., Hürriyetoğlu, A., Oostdijk, N., Uca, O., Thapa, S., & Liza, F. F. (2023). Event Causality Identification - Shared Task 3, CASE 2023. In Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (pp. 144-150). INCOMA Ltd. https://aclanthology.org/2023.case-1.19

Vancouver

Tan FA, Hettiarachchi H, Hürriyetoğlu A, Oostdijk N, Uca O, Thapa S et al. Event Causality Identification - Shared Task 3, CASE 2023. In Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text. Shoumen, Bulgaria: INCOMA Ltd. 2023. p. 144-150

Author

Tan, Fiona Anting ; Hettiarachchi, Hansi ; Hürriyetoğlu, Ali et al. / Event Causality Identification - Shared Task 3, CASE 2023. Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text. Shoumen, Bulgaria : INCOMA Ltd, 2023. pp. 144-150

Bibtex

@inproceedings{929f1a9a18c44a2289d1a7728315e007,

title = "Event Causality Identification - Shared Task 3, CASE 2023",

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.",

author = "Tan, {Fiona Anting} and Hansi Hettiarachchi and Ali H{\"u}rriyetoğlu and Nelleke Oostdijk and Onur Uca and Surendrabikram Thapa and Liza, {Farhana Ferdousi}",

year = "2023",

month = sep,

day = "7",

language = "English",

pages = "144--150",

booktitle = "Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text",

publisher = "INCOMA Ltd",

}

RIS

TY - GEN

T1 - Event Causality Identification - Shared Task 3, CASE 2023

AU - Tan, Fiona Anting

AU - Hettiarachchi, Hansi

AU - Hürriyetoğlu, Ali

AU - Oostdijk, Nelleke

AU - Uca, Onur

AU - Thapa, Surendrabikram

AU - Liza, Farhana Ferdousi

PY - 2023/9/7

Y1 - 2023/9/7

N2 - 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.

AB - 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.

M3 - Conference contribution/Paper

SP - 144

EP - 150

BT - Proceedings of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text

PB - INCOMA Ltd

CY - Shoumen, Bulgaria

ER -

Research

Links