BRISE-plandok: a German legal corpus of building regulations

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AIXRYJIU9" target="_blank" >RIV/00216208:11320/25:IXRYJIU9 - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197671843&doi=10.1007%2fs10579-024-09747-7&partnerID=40&md5=796d2e2f4215e1ff3ecd9a32628b1ef6" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197671843&doi=10.1007%2fs10579-024-09747-7&partnerID=40&md5=796d2e2f4215e1ff3ecd9a32628b1ef6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10579-024-09747-7" target="_blank" >10.1007/s10579-024-09747-7</a>

Result language

angličtina

Original language name

BRISE-plandok: a German legal corpus of building regulations

Original language description

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. © The Author(s) 2024.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Language Resources and Evaluation

ISSN

1574-020X

e-ISSN

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Volume of the periodical

2024

Issue of the periodical within the volume

2024

Country of publishing house

US - UNITED STATES

Number of pages

40

Pages from-to

1-40

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85197671843