{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/can-llm-substitute-human-labeling-a-case","title":"Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery","arxiv_id":"2403.06097","date":"2024-03-10","proceeding":null,"authors":["Yuxuan Yao","Sichun Luo","Haohan Zhao","Guanzhi Deng","Linqi Song"],"abstract":"We present CNER-UAV, a fine-grained \\textbf{C}hinese \\textbf{N}ame \\textbf{E}ntity \\textbf{R}ecognition dataset specifically designed for the task of address resolution in \\textbf{U}nmanned \\textbf{A}erial \\textbf{V}ehicle delivery systems. The dataset encompasses a diverse range of five categories, enabling comprehensive training and evaluation of NER models. To construct this dataset, we sourced the data from a real-world UAV delivery system and conducted a rigorous data cleaning and desensitization process to ensure privacy and data integrity. The resulting dataset, consisting of around 12,000 annotated samples, underwent human experts and \\textbf{L}arge \\textbf{L}anguage \\textbf{M}odel annotation. We evaluated classical NER models on our dataset and provided in-depth analysis. The dataset and models are publicly available at \\url{https://github.com/zhhvvv/CNER-UAV}.","url_abs":"https://arxiv.org/abs/2403.06097v2","url_pdf":"https://arxiv.org/pdf/2403.06097v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"can-llm-substitute-human-labeling-a-case","repo_url":"https://github.com/zhhvvv/cner-uav","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"cg","task_name":"NER"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}