Papers › BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks
Jieying Xue, Minh Phuong Nguyen, Blake Matheny, Le Minh Nguyen
In the Emotion Recognition in Conversation task, recent investigations have utilized attention mechanisms exploring relationships among utterances from intra- and inter-speakers for modeling emotional interaction between them. However, attributes such as speaker personality traits remain unexplored and present challenges in terms of their applicability to other tasks or compatibility with diverse model architectures. Therefore, this work introduces a novel framework named BiosERC, which investigates speaker characteristics in a conversation. By employing Large Language Models (LLMs), we extract the "biographical information" of the speaker within a conversation as supplementary knowledge injected into the model to classify emotional labels for each utterance. Our proposed method achieved state-of-the-art (SOTA) results on three famous benchmark datasets: IEMOCAP, MELD, and EmoryNLP, demonstrating the effectiveness and generalization of our model and showcasing its potential for adaptation to various conversation analysis tasks. Our source code is available at https://github.com/yingjie7/BiosERC.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Emotion Recognition in Conversation | EmoryNLP | BiosERC | Weighted-F1 | 41.68 | #2 of 28 | Archive leaderboard | report |
| Emotion Recognition in Conversation | IEMOCAP | BiosERC | Weighted-F1 | 71.19 | #9 of 59 | Archive leaderboard | report |
| Emotion Recognition in Conversation | MELD | BiosERC | Weighted-F1 | 69.83 | #2 of 68 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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