ArgumentMining-EN-ARI-AIF-RoBERTa_L

raruidol/ArgumentMining-EN-ARI-AIF-RoBERTa_L

ArgumentMining-EN-ARI-AIF-RoBERTa_L is a text classification model from raruidol. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.

Argument Mining model trained with English (EN) data for the Argument Relation Identification (ARI) task using the US2016 and the QT30 corpora.

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Task: Text Classification
Library: transformers
License: cc-by-nc-sa-4.0
Model type: roberta
Access: Public
Created: Mar 16, 2023
Updated: May 8, 2023
SHA: 7e7747dc

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From the Hugging Face model README

Argument Relation Mining

Argument Mining model trained with English (EN) data for the Argument Relation Identification (ARI) task using the US2016 and the QT30 corpora.

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}
}

Task: Text Classification
Library: transformers
Type: roberta
License: cc-by-nc-sa-4.0
Languages: en
Created: Mar 16, 2023
Updated: May 8, 2023