2024
COLING
COLING 2024
Ancient Chinese Sentence Segmentation and Punctuation on Xunzi LLM
Abstract
AbstractThis paper describes the system submitted for the EvaHan 2024 Task on ancient Chinese sentence segmentation and punctuation. Our study utillizes the Xunzi large language model as the base model to evaluate the overall performance and the performance by record type. The applied methodologies and the prompts utilized in our study have shown to be helpful and effective in aiding the model’s performance evaluation.
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Interdisciplinary Bridge
— Artificial Intelligence and Natural Language Processing
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio