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LIORI at the FinCausal 2020 Shared task

2020-12-01FNP (COLING) 2020Unverified0· sign in to hype

Denis Gordeev, Adis Davletov, Alexey Rey, Nikolay Arefiev

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Abstract

In this paper, we describe the results of team LIORI at the FinCausal 2020 Shared task held as a part of the 1st Joint Workshop on Financial Narrative Processing and MultiLingual Financial Summarisation. The shared task consisted of two subtasks: classifying whether a sentence contains any causality and labelling phrases that indicate causes and consequences. Our team ranked 1st in the first subtask and 4th in the second one. We used Transformer-based models with joint-task learning and their ensembles.

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