The Financial Causality Extraction Shared Task (FinCausal 2022)

Mariko, Dominique and Trottier, Kim and El-Haj, Mahmoud (2022) The Financial Causality Extraction Shared Task (FinCausal 2022). In: The 4th Financial Narrative Processing Workshop, 2022-06-242022-06-24, Palais du Pharo.

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Abstract

We present the FinCausal 2020 Shared Task on Causality Detection in Financial Documents and the associated FinCausal dataset, and discuss the participating systems and results. The task focuses on detecting if an object, an event or a chain of events is considered a cause for a prior event. This shared task focuses on determining causality associated with a quantified fact. An event is defined as the arising or emergence of a new object or context in regard to a previous situation. Therefore, the task will emphasise the detection of causality associated with transformation of financial objects embedded in quantified facts. A total number of 7 teams submitted system runs to the FinCausal task and contributed with a system description paper. FinCausal shared task is associated with the 4th Financial Narrative Processing Workshop (FNP 2022) (El-Haj et al., 2022) which is held at the The 13th Language Resources and Evaluation Conference (LREC 2022) in Marseille, France, on June 24, 2022.

Item Type:
Contribution to Conference (Paper)
Journal or Publication Title:
The 4th Financial Narrative Processing Workshop
ID Code:
171890
Deposited By:
Deposited On:
12 Oct 2022 14:15
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Nov 2022 14:53