Financial Document Causality Detection Shared Task (FinCausal 2020)

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Authors Dominique Mariko, Hanna Abi Akl, Estelle Labidurie, Stรฉphane Durfort, Hugues de Mazancourt, Mahmoud El-Haj arXiv ID 2012.02505 Category cs.CL: Computation & Language Cross-listed stat.ML Citations 81 Venue FNP Last Checked 4 months ago
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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