Financial Document Causality Detection Shared Task (FinCausal 2020)

• URL: http://arxiv.org/abs/2012.02505v1
• Date: Fri, 4 Dec 2020 10:17:42 GMT
• Title: Financial Document Causality Detection Shared Task (FinCausal 2020)
• Authors: Dominique Mariko, Hanna Abi Akl, Estelle Labidurie, St\'ephane Durfort, Hugues de Mazancourt, Mahmoud El-Haj
• Abstract summary: This workshop is associated to the Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020) We present the FinCausal 2020 Shared Task on Causality Detection in Financial Documents and the associated FinCausal dataset.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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. Two sub-tasks are proposed: a binary classification task (Task 1) and a relation extraction task (Task 2). A total of 16 teams submitted runs across the two Tasks and 13 of them contributed with a system description paper. This workshop is associated to the Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020), held at The 28th International Conference on Computational Linguistics (COLING'2020), Barcelona, Spain on September 12, 2020.

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