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Godfrey2712/
arg_mining_us2016_propositions

Name: arg_mining_us2016_propositions
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Classifies Coherent Propositional Contents of locution Pairs as either RA (Support), CA (Attack), or N/A Argument Relationship. N/A consists of instances where there are other and no argument relationships present in the propositional content pairs.

Takes two coherent propositions and classifies as either Support, Attack, or N/A.

Results:

	precision	recall	f1-score	support
CA	0.59	0.52	0.55	149
N/A	0.72	0.73	0.72	688
RA	0.73	0.74	0.73	654

accuracy			0.71	1491
macro avg	0.68	0.66	0.67	1491
weighted avg	0.71	0.71	0.71	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/

Godfrey2712/arg_mining_us2016_propositions

Results:

Godfrey2712/
arg_mining_us2016_propositions