material ID: goemotions

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GoEmotions: A Dataset of Fine-Grained Emotions

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractUnderstanding emotion expressed in language has a wide range of applications, from building empathetic chatbots to detecting harmful online behavior. Advancement in this area can be improved using large-scale datasets …...

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Seq2Emo: A Sequence to Multi-Label Emotion Classification Model

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DOI: nan

AbstractMulti-label emotion classification is an important task in NLP and is essential to many applications. In this work, we propose a sequence-to-emotion (Seq2Emo) approach, which implicitly models emotion correlations in …...

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