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Financial Argument Analysis in Bengali

Published: 12 February 2024 Publication History

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.

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Cited By

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  • (2024)Causal Inference and Prefix Prompt Engineering Based on Text Generation Models for Financial Argument AnalysisElectronics10.3390/electronics1309174613:9(1746)Online publication date: 1-May-2024

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FIRE '23: Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation
December 2023
170 pages
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 February 2024

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Author Tags

  1. Argument Mining
  2. Financial Natural Language Processing
  3. Language Resources in Bengali
  4. Natural Language Processing

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  • Extended-abstract
  • Research
  • Refereed limited

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FIRE 2023

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Overall Acceptance Rate 19 of 64 submissions, 30%

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  • (2024)Causal Inference and Prefix Prompt Engineering Based on Text Generation Models for Financial Argument AnalysisElectronics10.3390/electronics1309174613:9(1746)Online publication date: 1-May-2024

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