Papers by William Ferreira

1 papers
Incorporating Label Dependencies in Multilabel Stance Detection (D19-1)

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Challenge: Stance detection is a well-studied task in social media, but previous work focused on multiclass versions of the problem where labels are mutually exclusive.
Approach: They propose a method that explicitly incorporates label dependencies in the training objective and reduces multilabel to multiclass learning.
Outcome: The proposed method improves on two out of three datasets and reduces multilabel to multiclass learning.

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