DS-Group at SIGHAN-2024 dimABSA Task: Constructing In-context Learning Structure for Dimensional Aspect-Based Sentiment Analysis
Ling-ang Meng, Tianyu Zhao, Dawei Song · 2024
Aspect-Based Sentiment Analysis (ABSA) is an important subtask in Natural Language Processing (NLP).More recent research within ABSA have consistently focused on conducting more precise sentiment analysis on aspects, i.e., dimensional Aspect-Based Sentiment Analysis (dimABSA).However, previous approaches have not systematically explored the use of Large Language Models (LLMs) in dimABSA.To fill the gap, we propose a novel In-Context Learning (ICL) structure with a novel aspectaware ICL example selection method, to enhance the performance of LLMs in dimABSA.Experiments show that our proposed ICL structure significantly improves the fine-grained sentiment analysis abilities of LLMs.Our code is publicly available at: https://github.com/ Maydayflower/dimABSA-ICL.