mlsanityData to 13 Oct 2026

IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings

arXiv 2404.04525 ↗First posted 6 Apr 2024cs.CL cs.AI cs.LGcited by 0

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Abstract (arXiv)

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, the proposed approach achieves a 5.9 (F1 score) improvement over the task baseline. The ablation study results highlight the significance of various design choices in the proposed method.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 21 of its 35 references that are in the map. First posted on arXiv 6 Apr 2024.

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21 of 35 references.

References · 21

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9 more
  1. 2023Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interactioncited by 18
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  3. 2021Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformercited by 14
  4. 2020IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memescited by 12
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  8. 2024SemEval 2024 -- Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)cited by 5
  9. 2020BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Textcited by 2

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