IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings
Shubham Bhavin Patel, Divyaksh Shukla, Ashutosh Modi · 2024
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.