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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	0.57	0.51	0.54	110
Disagreeing	0.35	0.36	0.36	22
N/A	0.80	0.83	0.82	289

accuracy			0.72	421
macro avg	0.57	0.57	0.57	421
weighted avg	0.72	0.72	0.72	421

Dataset: https://corpora.aifdb.org/mm123 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/

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Safetensors

Model size

0.4B params

Tensor type

F32