一个用法语手动注释的语料库,用于研究城市化和预防自然风险
Maksim Koptelov1,2,3, Margaux Holveck4, Bruno Cremilleux5
1UNICAEN, ENSICAEN, CNRS - UMR GREYC, 14000, Caen, France. maksim.koptelov@unicaen.fr.
Scientific data
|November 22, 2023
概括
土地人工化是一个重大挑战. 本研究介绍了法国第一个城市规划和自然风险管理的语料库,使土地使用规则可以自动从地方土地规划等文件中提取出来.
科学领域:
- 城市规划和环境管理
- 自然语言处理自然语言处理.
- 地理空间数据科学数据科学
背景情况:
- 土地人工化在城市发展和自然风险管理中构成了重大挑战.
- 法国监管文件,包括地方土地规划 (PLU) 和自然风险预防计划 (PPRn),包含了重要的土地使用规则.
- 手动提取这些规则是耗时且容易出现错误的.
研究的目的:
- 开发和介绍法国第一个手动注释的城市规划和自然风险管理集体.
- 促进从监管文件中自动提取土地使用规则.
- 为本领域的文本分类建立一个基准.
主要方法:
- 1934年法国地方土地规划和自然风险预防计划中的文字段的手动注释.
- 开发一个层次化的类标签系统 (可验证,不可验证,信息,无关).
- 应用和测试一个最先进的文本分类方法用于规则提取.
主要成果:
- 创建了一个独特的法语语库,包括1934年标记的文本部分.
- 通过成功应用文本分类来证明语料库的实用性.
- 验证一个层次的标签系统,以提高概括性.
结论:
- 本集体是推进城市规划和自然风险管理中的自动化规则提取的宝贵资源.
- 文本分类方法显示了提高监管文件分析效率和准确性的巨大潜力.
- 这项工作为更系统和可扩展的土地利用政策管理铺平了道路.
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