Papers by Xuebin Qin

1 papers
Seq2Emo: A Sequence to Multi-Label Emotion Classification Model (2021.naacl-main)

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Challenge: Existing methods for multi-label emotion classification are based on binary relevance and classifier chain (CC)
Approach: They propose a sequence-to-emotion approach which implicitly models emotion correlations in a bi-directional decoder.
Outcome: The proposed approach outperforms state-of-the-art methods on a SemEval’18 and GoEmotions dataset.

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