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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Elsbeth Turcan, Shuai Wang, Rishita Anubhai, Kasturi Bhattacharjee, Yaser Al-Onaizan, Smaranda Muresan
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