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IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings
April 9, 2024, 4:42 a.m. | Shubham Patel, Divyaksh Shukla, Ashutosh Modi
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper presents our approach for the SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations. For the Emotion Recognition in Conversations (ERC) task, we utilize a masked-memory network along with speaker participation. We propose a transformer-based speaker-centric model for the Emotion Flip Reasoning (EFR) task. We also introduce Probable Trigger Zone, a region of the conversation that is more likely to contain the utterances causing the emotion to flip. For sub-task 3, …
abstract arxiv conversations cs.ai cs.cl cs.lg discovery embeddings emotion improving memory network paper reasoning recognition speaker type via
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