How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning (2023.emnlp-main)
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| Challenge: | Existing models excel at capturing semantic correlations within utterance embeddings but fail to determine specific causal relationships. |
| Approach: | They propose to incorporate i.i.d. noise terms into conversation process to build a structural causal model . they propose to use unstructured conversation data to facilitate deep learning . |
| Outcome: | The proposed approach can be implemented in unstructured conversation data and a synthetic dataset that includes i.i.d. noise. |
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