BITS Pilani at SemEval-2024 Task 10: Fine-tuning BERT and Llama 2 for Emotion Recognition in Conversation
| dc.contributor.author | Sharma, Yashvardhan | |
| dc.date.accessioned | 2024-11-12T07:08:01Z | |
| dc.date.available | 2024-11-12T07:08:01Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Emotion Recognition in Conversation (ERC)aims to assign an emotion to a dialogue in aconversation between people. The first subtaskof EDiReF shared task aims to assign an emo-tions to a Hindi-English code mixed conversa-tion. For this, our team proposes a system toidentify the emotion based on fine-tuning largelanguage models on the MaSaC dataset. Forour study we have fine tuned 2 LLMs BERTand Llama 2 to perform sequence classification to identify the emotion of the text. | en_US |
| dc.identifier.uri | https://aclanthology.org/2024.semeval-1.115/ | |
| dc.identifier.uri | https://dspace.bits-pilani.ac.in/handle/123456789/16337 | |
| dc.language.iso | en | en_US |
| dc.publisher | Association for Computational Linguistics | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Emotion Recognition in Conversation (ERC) | en_US |
| dc.subject | Hindi-English code | en_US |
| dc.title | BITS Pilani at SemEval-2024 Task 10: Fine-tuning BERT and Llama 2 for Emotion Recognition in Conversation | en_US |
| dc.type | Article | en_US |
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