Extending the best performing RoBERTa-large model trained in the "Transformer-Based Models for Automatic Detection of Argument Relations: A Cross-Domain Evaluation" paper.

macro-F1 (4-class classification): 0.70

Conf. Matrix on test:

Class	None	Inference	Conflict	Rephrase
None	2991	133	13	24
Inference	139	547	51	103
Conflict	38	54	98	21
Rephrase	55	128	25	443

Cite:

@article{ruiz2021transformer,
author = {R. Ruiz-Dolz and J. Alemany and S. Barbera and A. Garcia-Fornes},
journal = {IEEE Intelligent Systems},
title = {Transformer-Based Models for Automatic Identification of Argument Relations: A Cross-Domain Evaluation},
year = {2021},
volume = {36},
number = {06},
issn = {1941-1294},
pages = {62-70},
doi = {10.1109/MIS.2021.3073993},
publisher = {IEEE Computer Society}
}

raruidol/ArgumentMining-EN-ARI-AIF-RoBERTa_L

Argument Relation Mining

raruidol/
ArgumentMining-EN-ARI-AIF-RoBERTa_L