Enhancing argumentation component classification using contextual language model

Enhancing argumentation component classification using contextual language model

Abstract Arguments facilitate humans to deliver their ideas. The outcome of the discussion heavily relies on the validity of the argument. If an argument is well-composed, it is more effective to grasp the core idea behind the argument. To grade the argument, machines can be utilized by decomposing...

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Bibliographic Details
Main Authors: Hidayaturrahman, Emmanuel Dave, Derwin Suhartono, Aniati Murni Arymurthy
Format: Article
Language:English
Published: SpringerOpen 2021-07-01
Series:Journal of Big Data
Subjects:
Argumentation mining
Language model
Context free model
Contextual model
BERT
ELMo
Online Access:https://doi.org/10.1186/s40537-021-00490-2

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