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Godfrey2712/
arg_mining_us2016_locutions

Name: arg_mining_us2016_locutions
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Classifies Coherent Locution Pairs as either Arguing, Disagreeing, or N/A Illocutionary Force. N/A consists of instances where there are other and no illocutionary forces present in the sentence pair.

Takes two coherent Locutions and classifies as either Arguing, Disagreeing, or N/A.

Results:

	precision	recall	f1-score	support
Arguing	0.75	0.63	0.69	647
Disagreeing	0.51	0.52	0.52	143
N/A	0.67	0.77	0.72	701

accuracy			0.69	1491
macro avg	0.65	0.64	0.64	1491
weighted avg	0.69	0.69	0.69	1491

Dataset: https://corpora.aifdb.org/US2016 The data preprocessing and fine-tuning technique can be found here: https://discovery.dundee.ac.uk/en/studentTheses/exploiting-illocutionary-forces-in-dialogue-structures-for-enhanc/

Citation:

Inyama, G. (2025). Exploiting Illocutionary Forces in Dialogue Structures for Enhancing Authorship Identification [Master of Philosophy thesis, University of Dundee]. Discovery - the University of Dundee Research Portal. https://doi.org/10.15132/20000713

Godfrey2712/arg_mining_us2016_locutions

Results:

Citation:

Godfrey2712/
arg_mining_us2016_locutions