Summary of Semeval 2024 — Task 10: Emotion Discovery and Reasoning Its Flip in Conversation (ediref), by Shivani Kumar et al.
SemEval 2024 – Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)
by Shivani Kumar, Md Shad Akhtar, Erik Cambria, Tanmoy Chakraborty
First submitted to arxiv on: 29 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 The SemEval-2024 Task 10 is a shared task that focuses on identifying emotions and understanding the reasons behind their changes in monolingual English, Hindi-English code-mixed dialogues. The task involves three subtasks: emotion recognition in conversation for code-mixed dialogues, emotion flip reasoning for code-mixed dialogues, and emotion flip reasoning for English dialogues. Participants were required to automatically execute one or more of these subtasks. The datasets for the tasks consist of manually annotated conversations that focus on emotions and triggers for emotional shifts. A total of 84 participants took part in this task, with the top-performing systems achieving F1-scores of 0.70, 0.79, and 0.76 for the respective subtasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about a special task that helps computers understand emotions and why they change in conversations. The task involves three parts: recognizing emotions in code-mixed dialogues, understanding why emotions flip in code-mixed dialogues, and doing the same for English dialogues only. Computers were asked to complete one or more of these tasks. The data used has already been labeled with emotions and reasons for emotional shifts. Many teams participated in this task, and some did very well. |
