You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

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/

Downloads last month
4
Safetensors
Model size
0.4B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support