English

Financial Document Causality Detection Shared Task (FinCausal 2020)

Computation and Language 2020-12-07 v1 Machine Learning

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.

Cite

@article{arxiv.2012.02505,
  title  = {Financial Document Causality Detection Shared Task (FinCausal 2020)},
  author = {Dominique Mariko and Hanna Abi Akl and Estelle Labidurie and Stéphane Durfort and Hugues de Mazancourt and Mahmoud El-Haj},
  journal= {arXiv preprint arXiv:2012.02505},
  year   = {2020}
}
R2 v1 2026-06-23T20:43:46.476Z