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From Stances' Imbalance to Their HierarchicalRepresentation and Detection
2019
The World Wide Web Conference on - WWW '19
Stance detection has gained increasing interest from the research community due to its importance for fake news detection. The goal of stance detection is to categorize an overall position of a subject towards an object into one of the four classes: agree, disagree, discuss, and unrelated. One of the major problems faced by current machine learning models used for stance detection is caused by a severe class imbalance among these classes. Hence, most models fail to correctly classify instances
doi:10.1145/3308558.3313724
dblp:conf/www/ZhangLLRY19
fatcat:ihtw4yxanrhqdely2nx3sa2y6q