CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning

arXiv:2404.17609v1 Announce Type: new
Abstract: Stance detection seeks to identify the viewpoints of individuals either in favor or against a given target or a controversial topic. Current advanced neural models for stance detection typically employ fully parametric softmax classifiers. However, these methods suffer from several limitations, including lack of explainability, insensitivity to the latent data structure, and unimodality, which greatly restrict their performance and applications. To address these challenges, we present a novel collaborative stance detection framework called (CoSD) which …

abstract advanced arxiv classifiers collaborative cs.ai cs.lg current detection explainability graph graph learning however identify limitations parametric softmax type