PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
Roman Kazakov, Kseniia Petukhova, Ekaterina Kochmar · 2024
In this paper, we present our submission to the SemEval-2023 Task 3 "The Competition of Multimodal Emotion Cause Analysis in Conversations", focusing on extracting emotioncause pairs from dialogs.Specifically, our approach relies on combining fine-tuned GPT-3.5 for emotion classification and a BiLSTM-based neural network to detect causes.We score 2nd in the ranking for Subtask 1, demonstrating the effectiveness of our approach through one of the highest weighted-average proportional F 1 scores recorded at 0.264.Our code is available at https://github.com/sachertort/ petkaz-semeval-ecac.