@inproceedings{popat2019stancy,
author = {Popat, Kashyap and Mukherjee, Subhabrata (Subho) and Yates, Andrew and Weikum, Gerhard},
title = {STANCY: Stance Classification Based on Consistency Cues},
booktitle = {EMNLP},
year = {2019},
month = {November},
abstract = {Controversial claims are abundant in online media and discussion forums. A better understanding of such claims requires analyzing them from different perspectives. Stance classification is a necessary step for inferring these perspectives in terms of supporting or opposing the claim. In this work, we present a neural network model for stance classification leveraging BERT representations and augmenting them with a novel consistency constraint. Experiments on the Perspectrum dataset, consisting of claims and users' perspectives from various debate websites, demonstrate the effectiveness of our approach over state-of-the-art baselines.},
url = {http://approjects.co.za/?big=en-us/research/publication/stancy-stance-classification-based-on-consistency-cues/},
}