Papers with KAITML

1 papers
Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer (2020.coling-main)

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Challenge: Existing models for ERTC use a few non-neutral categories to identify the emotion of each utterance.
Approach: They propose a novel Knowledge Aware Incremental Transformer with Multi-task Learning to address these challenges by leveraging commonsense knowledge to leverage context.
Outcome: The proposed model outperforms state-of-the-art models across five benchmark datasets.

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