GBe at FinCausal 2020, Task 2: Span-based Causality Extraction for Financial Documents

Code

• github.com/guillaume-be/financial-causality-extraction
  OfficialIn paperpytorch★ 20

Abstract

This document describes a system for causality extraction from financial documents submitted as part of the FinCausal 2020 Workshop. The main contribution of this paper is a description of the robust post-processing used to detect the number of cause and effect clauses in a document and extract them. The proposed system achieved a weighted-average F1 score of more than 95% for the official blind test set during the post-evaluation phase and exact clauses match for 83% of the documents.

Tasks

Reproductions