Standard
The Financial Document Causality Detection Shared Task (FinCausal 2023). / Moreno-Sandoval, A.; Porta-Zamorano, J.
; Carbajo-Coronado, B. et al.
2023 IEEE International Conference on Big Data. ed. / Jingrui He; Themis Palpanas; Xiaohua Hu; Alfredo Cuzzocrea; Dejing Dou; Dominik Slezak; Wei Wang; Aleksandra Gruca; Jerry Chun-Wei Lin; Rakesh Agrawal. Los Alamitos, CA, USA: IEEE Computer Society Press, 2024. p. 2855-2860 (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Moreno-Sandoval, A, Porta-Zamorano, J
, Carbajo-Coronado, B, Samy, D, Mariko, D
& El-Haj, M 2024,
The Financial Document Causality Detection Shared Task (FinCausal 2023). in J He, T Palpanas, X Hu, A Cuzzocrea, D Dou, D Slezak, W Wang, A Gruca, JC-W Lin & R Agrawal (eds),
2023 IEEE International Conference on Big Data. Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, IEEE Computer Society Press, Los Alamitos, CA, USA, pp. 2855-2860.
https://doi.org/10.1109/BigData59044.2023.10386745APA
Moreno-Sandoval, A., Porta-Zamorano, J.
, Carbajo-Coronado, B., Samy, D., Mariko, D.
, & El-Haj, M. (2024).
The Financial Document Causality Detection Shared Task (FinCausal 2023). In J. He, T. Palpanas, X. Hu, A. Cuzzocrea, D. Dou, D. Slezak, W. Wang, A. Gruca, J. C.-W. Lin, & R. Agrawal (Eds.),
2023 IEEE International Conference on Big Data (pp. 2855-2860). (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023). IEEE Computer Society Press.
https://doi.org/10.1109/BigData59044.2023.10386745Vancouver
Moreno-Sandoval A, Porta-Zamorano J
, Carbajo-Coronado B, Samy D, Mariko D
, El-Haj M.
The Financial Document Causality Detection Shared Task (FinCausal 2023). In He J, Palpanas T, Hu X, Cuzzocrea A, Dou D, Slezak D, Wang W, Gruca A, Lin JCW, Agrawal R, editors, 2023 IEEE International Conference on Big Data. Los Alamitos, CA, USA: IEEE Computer Society Press. 2024. p. 2855-2860. (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023). doi: 10.1109/BigData59044.2023.10386745
Author
Moreno-Sandoval, A. ; Porta-Zamorano, J.
; Carbajo-Coronado, B. et al. /
The Financial Document Causality Detection Shared Task (FinCausal 2023). 2023 IEEE International Conference on Big Data. editor / Jingrui He ; Themis Palpanas ; Xiaohua Hu ; Alfredo Cuzzocrea ; Dejing Dou ; Dominik Slezak ; Wei Wang ; Aleksandra Gruca ; Jerry Chun-Wei Lin ; Rakesh Agrawal. Los Alamitos, CA, USA : IEEE Computer Society Press, 2024. pp. 2855-2860 (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023).
Bibtex
@inproceedings{6ffaedee22894c5b84083dd909681d8b,
title = "The Financial Document Causality Detection Shared Task (FinCausal 2023)",
abstract = "We introduce the FinCausal 2023 Shared Task on Causality Detection in Financial Documents and the corresponding FinCausal dataset. This paper also provides insights into the participating systems and their outcomes. The primary objective of this task is to identify whether an object, event or sequence of events can be considered the cause of a preceding event (the effect). This year, we presented two subtasks, one in English and another in Spanish. In both subtasks, participants were tasked with pinpointing, within causal sentences, the elements that pertained to the cause and those that related to the effect. We received system runs from five teams for the English subtask and three teams for the Spanish subtask. FinCausal 2023 is affiliated with the 5th Financial Narrative Processing Workshop (FNP 2023), hosted at IEEE BigData 2023 in Sorrento, Italy.",
keywords = "conferences, big data, object recognition, task analysis",
author = "A. Moreno-Sandoval and J. Porta-Zamorano and B. Carbajo-Coronado and D. Samy and D. Mariko and M. El-Haj",
year = "2024",
month = feb,
day = "1",
doi = "10.1109/BigData59044.2023.10386745",
language = "English",
series = "Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023",
publisher = "IEEE Computer Society Press",
pages = "2855--2860",
editor = "Jingrui He and Themis Palpanas and Xiaohua Hu and Alfredo Cuzzocrea and Dejing Dou and Dominik Slezak and Wei Wang and Aleksandra Gruca and Lin, {Jerry Chun-Wei} and Rakesh Agrawal",
booktitle = "2023 IEEE International Conference on Big Data",
}
RIS
TY - GEN
T1 - The Financial Document Causality Detection Shared Task (FinCausal 2023)
AU - Moreno-Sandoval, A.
AU - Porta-Zamorano, J.
AU - Carbajo-Coronado, B.
AU - Samy, D.
AU - Mariko, D.
AU - El-Haj, M.
PY - 2024/2/1
Y1 - 2024/2/1
N2 - We introduce the FinCausal 2023 Shared Task on Causality Detection in Financial Documents and the corresponding FinCausal dataset. This paper also provides insights into the participating systems and their outcomes. The primary objective of this task is to identify whether an object, event or sequence of events can be considered the cause of a preceding event (the effect). This year, we presented two subtasks, one in English and another in Spanish. In both subtasks, participants were tasked with pinpointing, within causal sentences, the elements that pertained to the cause and those that related to the effect. We received system runs from five teams for the English subtask and three teams for the Spanish subtask. FinCausal 2023 is affiliated with the 5th Financial Narrative Processing Workshop (FNP 2023), hosted at IEEE BigData 2023 in Sorrento, Italy.
AB - We introduce the FinCausal 2023 Shared Task on Causality Detection in Financial Documents and the corresponding FinCausal dataset. This paper also provides insights into the participating systems and their outcomes. The primary objective of this task is to identify whether an object, event or sequence of events can be considered the cause of a preceding event (the effect). This year, we presented two subtasks, one in English and another in Spanish. In both subtasks, participants were tasked with pinpointing, within causal sentences, the elements that pertained to the cause and those that related to the effect. We received system runs from five teams for the English subtask and three teams for the Spanish subtask. FinCausal 2023 is affiliated with the 5th Financial Narrative Processing Workshop (FNP 2023), hosted at IEEE BigData 2023 in Sorrento, Italy.
KW - conferences
KW - big data
KW - object recognition
KW - task analysis
U2 - 10.1109/BigData59044.2023.10386745
DO - 10.1109/BigData59044.2023.10386745
M3 - Conference contribution/Paper
T3 - Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023
SP - 2855
EP - 2860
BT - 2023 IEEE International Conference on Big Data
A2 - He, Jingrui
A2 - Palpanas, Themis
A2 - Hu, Xiaohua
A2 - Cuzzocrea, Alfredo
A2 - Dou, Dejing
A2 - Slezak, Dominik
A2 - Wang, Wei
A2 - Gruca, Aleksandra
A2 - Lin, Jerry Chun-Wei
A2 - Agrawal, Rakesh
PB - IEEE Computer Society Press
CY - Los Alamitos, CA, USA
ER -
