Papers with transformer-based context-

1 papers
HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations (2020.coling-main)

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Challenge: Emotion detection in conversations is to detect the emotion for each utterance in conversations that have multiple speakers.
Approach: They propose a transformer-based context- and speaker-sensitive model for EDC . they utilize a low-level transformer to generate local utterance representations .
Outcome: The proposed model outperforms state-of-the-art models on three benchmark datasets.

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