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Tribrid: Stance Classification with Neural Inconsistency Detection [article]

Song Yang, Jacopo Urbani
2021 arXiv   pre-print
We study the problem of performing automatic stance classification on social media with neural architectures such as BERT.  ...  To improve the performance, we present a new neural architecture where the input also includes automatically generated negated perspectives over a given claim.  ...  In this paper, we address this problem with a new BERT-based neural network, which we call Tribrid (TRIplet Bert-based Inconsistency Detection), that is designed not only to produce a reliable and accurate  ... 
arXiv:2109.06508v1 fatcat:pq446e4w3ncrlbbbnftrs3umma

Tribrid: Stance Classification with Neural Inconsistency Detection

Song Yang, Jacopo Urbani
2021 Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing   unpublished
Tribrid: Stance Classification with Neural Inconsistency Detection Song Yang Jacopo Urbani Department of Computer Science  ...  stance classification with our neural model.  ... 
doi:10.18653/v1/2021.emnlp-main.547 fatcat:hbfdpfvj4rapdnblu2d55kgjpm