Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations

ACL 2019 Sumeet KumarKathleen Carley

Learning from social-media conversations has gained significant attention recently because of its applications in areas like rumor detection. In this research, we propose a new way to represent social-media conversations as binarized constituency trees that allows comparing features in source-posts and their replies effectively... (read more)

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