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Found 2 papers, 1 papers with code
A Weakly Supervised Approach for Classifying Stance in Twitter Replies
Compared to supervised learning, our method improves the mean F1-macro by 8\% on the hand-labeled dataset without using any hand-labeled examples in the training set.
Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations
Moreover, the existing datasets do not distinguish between the different types of conversations on social media (e. g., replying vs. quoting on Twitter).
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