# Data Processing and Annotation Schemes for FinCausal Shared Task

arXiv: https://arxiv.org/abs/2012.02498 · HTML: https://mlsanity.com/paper/2012.02498/

## Key facts

- Cited by 3 papers in the map (data through 7 Oct 2026).
- First posted on arXiv 4 Dec 2020.

## Built on by (most cited first, 3 of 3)

- [Towards Fine-grained Causal Reasoning and QA](https://mlsanity.com/paper/2204.07408/) (2022)
- [EDeR: A Dataset for Exploring Dependency Relations Between Events](https://mlsanity.com/paper/2304.01612/) (2023)
- [Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry](https://mlsanity.com/paper/2411.10172/) (2024)

## Abstract (arXiv)

This document explains the annotation schemes used to label the data for the FinCausal Shared Task (Mariko et al., 2020). This task is associated to the Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020), to be held at The 28th International Conference on Computational Linguistics (COLING'2020), on December 12, 2020.