Identifying arguments within a text: Categorizing errors and their impact in arguments' relation prediction-Reference-Cited by-同舟云学术

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Identifying arguments within a text: Categorizing errors and their impact in arguments' relation prediction

Published:2024-10 Issue: Volume:173 Page:109267
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Schmidt Federico M.^ORCID,Gottifredi Sebastian,García Alejandro J.

Funder

Consejo Nacional de Investigaciones Científicas y Técnicas

Universidad Nacional del Sur

Publisher

Elsevier BV

Reference45 articles.

1. Argumentation mining: state of the art and emerging trends;Lippi;ACM Trans. Internet Technol.,2016

2. Five years of argument mining: a data-driven analysis;Cabrio,2018

3. Unit segmentation of argumentative texts;Ajjour,2017

4. Neural end-to-end learning for computational argumentation mining;Eger,2017

5. Multi-task learning for argumentation mining in low-resource settings;Schulz,2018

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