BRISE-plandok: a German legal corpus of building regulations

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Language Resources and Evaluation Pub Date : 2024-07-06 DOI:10.1007/s10579-024-09747-7
Gábor Recski, Eszter Iklódi, Björn Lellmann, Ádám Kovács, Allan Hanbury
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Abstract

We present the BRISE-Plandok corpus, a collection of 250 text documents with a total of over 7000 sentences from the Zoning Map of the City of Vienna, annotated manually with formal representations of the rules they convey. The generic rule format used by the corpus enables automated compliance checking of building plans, a process developed as part of the BRISE (https://smartcity.wien.gv.at/en/brise/) project. The format also allows for conversion to multiple logic formalisms, including dyadic deontic logic, enabling automated reasoning. Annotation guidelines were developed in collaboration with experts of the city’s building inspection office, describing nearly 100 domain-specific attributes with examples. Each document was annotated independently by two trained annotators and subsequently reviewed by the authors. A rule-based system for the automatic extraction of rules from text was developed and used in the annotation process to provide suggestions. The reviewed dataset was also used to train a set of baseline machine learning models for the task of attribute extraction, the main step in the rule extraction process. Both the rule-based system and the ML baselines are evaluated on the annotated dataset and released as open-source software. We also describe and release the framework used for generating and parsing the interactive xlsx spreadsheets used by annotators.

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BRISE-plandok:德国建筑法规法律语料库
我们介绍了 BRISE-Plandok 语料库,这是一个由 250 个文本文档组成的语料库,其中包含来自维也纳市分区地图的总计 7000 多个句子,这些句子由人工标注,并附有规则的正式表述。该语料库使用的通用规则格式可对建筑规划进行自动合规性检查,该过程是 BRISE (https://smartcity.wien.gv.at/en/brise/) 项目开发的一部分。该格式还可转换为多种逻辑形式,包括二元契约逻辑,从而实现自动推理。注释指南是与城市建筑检查办公室的专家合作开发的,描述了近 100 个特定领域的属性,并附有示例。每份文档都由两名经过培训的注释员独立注释,随后由作者进行审核。我们开发了一个基于规则的系统,用于从文本中自动提取规则,并在注释过程中提供建议。经审查的数据集还用于训练一组基准机器学习模型,以完成属性提取任务,这是规则提取过程中的主要步骤。基于规则的系统和机器学习基线都在注释数据集上进行了评估,并作为开源软件发布。我们还描述并发布了用于生成和解析注释者使用的交互式 xlsx 电子表格的框架。
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来源期刊
Language Resources and Evaluation
Language Resources and Evaluation 工程技术-计算机:跨学科应用
CiteScore
6.50
自引率
3.70%
发文量
55
审稿时长
>12 weeks
期刊介绍: Language Resources and Evaluation is the first publication devoted to the acquisition, creation, annotation, and use of language resources, together with methods for evaluation of resources, technologies, and applications. Language resources include language data and descriptions in machine readable form used to assist and augment language processing applications, such as written or spoken corpora and lexica, multimodal resources, grammars, terminology or domain specific databases and dictionaries, ontologies, multimedia databases, etc., as well as basic software tools for their acquisition, preparation, annotation, management, customization, and use. Evaluation of language resources concerns assessing the state-of-the-art for a given technology, comparing different approaches to a given problem, assessing the availability of resources and technologies for a given application, benchmarking, and assessing system usability and user satisfaction.
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