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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

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