arXiv · cs.AI · Pujan Pant, Sagar Newpane, Hari Sitaula, Manish Sakhakarmy · 8 小时前模型评分33
研究团队将 大语言模型（LLM，Large Language Model）-SC 框架适配至帕斯帕提那神庙评论抽取
Adapting LLM-SC to Living Sacred Heritage: Domain-Specific Extraction, Semantic Networks and Human Evaluation on Pashupatinath Temple Reviews
导读
研究团队把 大语言模型（LLM，Large Language Model）-SC 框架适配到尼泊尔帕斯帕提那神庙，在 GPT-4o 提示词中定义 12 类实体、4 类关系和 9 个方面-情感维度，处理 2,500 条英文 Tripadvisor 评论。
分类置信度
中 · 待人工复核
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
应用领域：内容与娱乐、其他
事件类型：研究发布
证据摘录
- “We adapted the LLM-Social Computing (LLM-SC) framework to Pashupatinath Temple, Nepal, by specifying a 12-type entity taxonomy (four original LLM-SC types plus eight sacred-heritage types), four relation types and nine aspect-sentiment dimensions in a GPT-4o extraction prompt, which was applied to a fixed random sample of 2,500 English-language Tripadvisor reviews from a processed corpus of 3,939.”
- “The contribution is a culturally grounded, domain-specific adaptation with component-wise human evaluation and explicit reproducibility and generalization limitations.”
来源：arXiv · cs.AI · arxiv.org