ExpertNeurons at FinCausal 2022 Task 2: Causality Extraction for Financial Documents

Joydeb Mondal, Nagaraj Bhat, Pramir Sarkar, Shahid Reza


Abstract
In this paper describes the approach which we have built for causality extraction from the financial documents that we have submitted for FinCausal 2022 task 2. We proving a solution with intelligent pre-processing and post-processing to detect the number of cause and effect in a financial document and extract them. Our given approach achieved 90% as F1 score(weighted-average) for the official blind evaluation dataset.
Anthology ID:
2022.fnp-1.22
Volume:
Proceedings of the 4th Financial Narrative Processing Workshop @LREC2022
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Mahmoud El-Haj, Paul Rayson, Nadhem Zmandar
Venue:
FNP
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
128–130
Language:
URL:
https://aclanthology.org/2022.fnp-1.22
DOI:
Bibkey:
Cite (ACL):
Joydeb Mondal, Nagaraj Bhat, Pramir Sarkar, and Shahid Reza. 2022. ExpertNeurons at FinCausal 2022 Task 2: Causality Extraction for Financial Documents. In Proceedings of the 4th Financial Narrative Processing Workshop @LREC2022, pages 128–130, Marseille, France. European Language Resources Association.
Cite (Informal):
ExpertNeurons at FinCausal 2022 Task 2: Causality Extraction for Financial Documents (Mondal et al., FNP 2022)
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PDF:
https://aclanthology.org/2022.fnp-1.22.pdf