nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States
Nicolay Rusnachenko, Huizhi Liang · 2024
Emotion expression is one of the essential traits of conversations.It may be self-related or caused by another speaker.The variety of reasons may serve as a source of the further emotion causes: conversation history, speaker's emotional state, etc. Inspired by the most recent advances in Chain-of-Thought, in this work, we exploit the existing three-hop reasoning approach (THOR) to perform large language model instruction-tuning for answering: emotion states (THOR STATE ), and emotion caused by one speaker to the other (THOR CAUSE ).We equip THOR CAUSE with the reasoning revision (RR) for devising a reasoning path in finetuning.In particular, we rely on the annotated speaker emotion states to revise reasoning path.Our final submission, based on Flan-T5 base (250M) and the rule-based span correction technique, preliminary tuned with THOR STATE and fine-tuned with THOR CAUSE-RR on competition training data, results in 3 rd and 4 th places (F 1 proportional ) and 5 th place (F 1 strict ) among 15 participating teams.Our THOR implementation fork is publicly available: https:// github.com/nicolay-r/THOR-ECAC