Unified, Labeled, and Semi-Structured Database of Pre-Processed Mexican Laws
This paper presents a corpus of pre-processed Mexican laws for computational tasks. The main contributions are the proposed JSON structure and the methodology used to achieve the semi-structured corpus with the selected algorithms. Law PDF documents were transformed into plain text, unified by a dec...
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MDPI AG
2022-07-01
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author | Bella Martinez-Seis Obdulia Pichardo-Lagunas Harlan Koff Miguel Equihua Octavio Perez-Maqueo Arturo Hernández-Huerta |
author_facet | Bella Martinez-Seis Obdulia Pichardo-Lagunas Harlan Koff Miguel Equihua Octavio Perez-Maqueo Arturo Hernández-Huerta |
author_sort | Bella Martinez-Seis |
collection | DOAJ |
description | This paper presents a corpus of pre-processed Mexican laws for computational tasks. The main contributions are the proposed JSON structure and the methodology used to achieve the semi-structured corpus with the selected algorithms. Law PDF documents were transformed into plain text, unified by a deconstruction of law–document structure, and labeled with natural language processing techniques considering part of speech (PoS); a process of entity extraction was also performed. The corpus includes the Mexican constitution and the Mexican laws that were collected from the official site in PDF format repealed before 14 October 2021. The collection has 305 documents, including: the Mexican constitution, 289 laws, 8 federal codes, 3 regulations, 2 statutes, 1 decree, and 1 ordinance. The semi-structured database includes the transformation of the set of laws from PDF format to a digital representation in order to facilitate its computational analysis. The documents were migrated to JSON type files to represent internal hierarchical relations. In addition, basic natural language processing techniques were implemented on laws for the identification of part of speech and named entities. The presented data set is mainly useful for text analysis and data science. It could be used for various legislative analysis tasks including: comprehension, interpretation, translation, classification, accessibility, coherence, and searches. Finally, we present some statistic of the identified entities and an example of the usefulness of the corpus for environmental laws. |
first_indexed | 2024-03-09T03:33:02Z |
format | Article |
id | doaj.art-f63f34a94990465f8771b6ef01114fab |
institution | Directory Open Access Journal |
issn | 2306-5729 |
language | English |
last_indexed | 2024-03-09T03:33:02Z |
publishDate | 2022-07-01 |
publisher | MDPI AG |
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spelling | doaj.art-f63f34a94990465f8771b6ef01114fab2023-12-03T14:53:17ZengMDPI AGData2306-57292022-07-01779110.3390/data7070091Unified, Labeled, and Semi-Structured Database of Pre-Processed Mexican LawsBella Martinez-Seis0Obdulia Pichardo-Lagunas1Harlan Koff2Miguel Equihua3Octavio Perez-Maqueo4Arturo Hernández-Huerta5Engineering Department, UPIITA-IPN, Instituto Politécnico Nacional, Mexico City 07360, MexicoEngineering Department, UPIITA-IPN, Instituto Politécnico Nacional, Mexico City 07360, MexicoDepartment of Geography and Spatial Planning, University of Luxembourg, Maison des Sciences Humaines, 11, Porte des Sciences, L-4366 Luxembourg, LuxembourgRed de Ambiente y Sustentabilidad, Instituto de Ecología, A.C. (INECOL), Xalapa 91073, MexicoRed de Ambiente y Sustentabilidad, Instituto de Ecología, A.C. (INECOL), Xalapa 91073, MexicoRed de Ambiente y Sustentabilidad, Instituto de Ecología, A.C. (INECOL), Xalapa 91073, MexicoThis paper presents a corpus of pre-processed Mexican laws for computational tasks. The main contributions are the proposed JSON structure and the methodology used to achieve the semi-structured corpus with the selected algorithms. Law PDF documents were transformed into plain text, unified by a deconstruction of law–document structure, and labeled with natural language processing techniques considering part of speech (PoS); a process of entity extraction was also performed. The corpus includes the Mexican constitution and the Mexican laws that were collected from the official site in PDF format repealed before 14 October 2021. The collection has 305 documents, including: the Mexican constitution, 289 laws, 8 federal codes, 3 regulations, 2 statutes, 1 decree, and 1 ordinance. The semi-structured database includes the transformation of the set of laws from PDF format to a digital representation in order to facilitate its computational analysis. The documents were migrated to JSON type files to represent internal hierarchical relations. In addition, basic natural language processing techniques were implemented on laws for the identification of part of speech and named entities. The presented data set is mainly useful for text analysis and data science. It could be used for various legislative analysis tasks including: comprehension, interpretation, translation, classification, accessibility, coherence, and searches. Finally, we present some statistic of the identified entities and an example of the usefulness of the corpus for environmental laws.https://www.mdpi.com/2306-5729/7/7/91Mexican legislationlawsnatural language processinglegislative documents |
spellingShingle | Bella Martinez-Seis Obdulia Pichardo-Lagunas Harlan Koff Miguel Equihua Octavio Perez-Maqueo Arturo Hernández-Huerta Unified, Labeled, and Semi-Structured Database of Pre-Processed Mexican Laws Data Mexican legislation laws natural language processing legislative documents |
title | Unified, Labeled, and Semi-Structured Database of Pre-Processed Mexican Laws |
title_full | Unified, Labeled, and Semi-Structured Database of Pre-Processed Mexican Laws |
title_fullStr | Unified, Labeled, and Semi-Structured Database of Pre-Processed Mexican Laws |
title_full_unstemmed | Unified, Labeled, and Semi-Structured Database of Pre-Processed Mexican Laws |
title_short | Unified, Labeled, and Semi-Structured Database of Pre-Processed Mexican Laws |
title_sort | unified labeled and semi structured database of pre processed mexican laws |
topic | Mexican legislation laws natural language processing legislative documents |
url | https://www.mdpi.com/2306-5729/7/7/91 |
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