| language: | |
| - hi | |
| - en | |
| tags: | |
| - emotion-recognition | |
| - code-mixing | |
| - hinglish | |
| - conversation | |
| - semeval-2024 | |
| datasets: | |
| - masac | |
| metrics: | |
| - f1 | |
| # HingRoBERTa ERC — E-MASAC | |
| Fine-tuned [l3cube-pune/hing-roberta](https://huggingface.co/l3cube-pune/hing-roberta) | |
| for Emotion Recognition in Conversation (ERC) on the SemEval-2024 Task 10 E-MASAC benchmark | |
| (Hinglish TV dialogues from *Sarabhai vs. Sarabhai*). | |
| ## Performance | |
| - **Test wF1: 0.4852** (HingRoBERTa + SVM soft ensemble) | |
| - Phase 1 alone: wF1 = 0.3901 | |
| - +12.5 pts above SemEval LSTM baseline | |
| ## Architecture | |
| Two-phase ensemble: | |
| - Phase 1: Fine-tuned HingRoBERTa with Focal Loss + R-Drop, speaker embeddings, emotion-conditioned context | |
| - Phase 2: SVM-RBF on 3,185-d features (Phase 1 embeddings + hand-crafted conversational features) | |
| ## Labels | |
| `anger`, `contempt`, `disgust`, `fear`, `joy`, `neutral`, `sadness`, `surprise` | |
| ## Citation | |
| Chakradhar Kotha, Konda Bhanu Sai Akhil, Venkata Siva Sai Krishna Pokuri | |
| IIIT Hyderabad | SemEval-2024 Task 10 | |