Natural language Processing (NLP) for automated compliance checking: an investigation of the preprocessing of a Brazilian urban regulatory code
uma investigação do pré-processamento de um código regulatório urbanístico brasileiro
DOI:
https://doi.org/10.46421/entac.v19i1.2200Keywords:
Natural Language Processing, Automation, Pre-processing, Artificial Intelligence, Urban codeAbstract
Manually checking for compliance is a resource-intensive and error-prone task. Information in regulatory codes can be extracted automatically using natural language processing (NLP) techniques, making compliance checking simpler and more reliable. This work investigates a script using NLP techniques for the pre-processing – first phase of information extraction - of a Brazilian regulatory code. For this, the Python programming language and the NLTK library were used. An accuracy of 68% was achieved the performance of the labeller, indicating the need for improvements in the pre-processing for the Portuguese language.
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