IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings
<|reference_start|>IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings: 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.<|reference_end|>
@article{patel2024iitk,
    title={IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion
  Recognition and Flip Reasoning in Conversations via Speaker Embeddings},
    author={Shubham Patel and Divyaksh Shukla and Ashutosh Modi},
    journal={arXiv preprint arXiv:2404.04525},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.04525},
    primaryClass={cs.CL cs.AI cs.LG}
}