Financial Argument Analysis in Bengali

EasyChair Preprint 11306

Abstract

Argument mining is an emerging area of research. Argument mining in financial domain specifically for low-resources language like Bengali is in its nascent stage. There exist no datasets for argumentative financial texts mining in Bengali. In this paper, we propose two new datasets in Bengali for financial argument analysis. Subsequently, we released two transformer-based models fine-tuned on these datasets as baselines for financial argumentative unit classification and for detecting the relation between two argumentative financial texts.

Keyphrases: Financial Natural Language Processing, Language Resources in Bengali, Natural Language Processing, argument mining

@booklet{EasyChair:11306,
  author    = {Rima Roy and Sohom Ghosh and Sudip Kumar Naskar},
  title     = {Financial Argument Analysis in Bengali},
  howpublished = {EasyChair Preprint 11306},
  year      = {EasyChair, 2023}}