Summary of Iitk at Semeval-2024 Task 10: Who Is the Speaker? Improving Emotion Recognition and Flip Reasoning in Conversations Via Speaker Embeddings, by Shubham Patel and Divyaksh Shukla and Ashutosh Modi
IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings
by Shubham Patel, Divyaksh Shukla, Ashutosh Modi
First submitted to arxiv on: 6 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper tackles SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations, developing a masked-memory network for Emotion Recognition in Conversations (ERC) and a transformer-based speaker-centric model for Emotion Flip Reasoning (EFR). The proposed approach introduces Probable Trigger Zone, identifying the region of conversation where utterances cause emotion flipping. This method achieves a 5.9-point F1 score improvement over the task baseline on sub-task 3, demonstrating its effectiveness. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us better understand emotions in conversations. It creates new ways to recognize and reason about emotions, which is important for building more empathetic computers that can have meaningful interactions with humans. The approach uses special networks and models to identify specific parts of the conversation that cause emotions to flip. This could lead to more accurate understanding and management of emotional responses. |
Keywords
* Artificial intelligence * F1 score * Transformer
