research-article

Automatic Construction of a Polish Legal Dictionary with Mappings to Extra-Legal Terms Established via Word Embeddings

Authors:

Aleksander Smywiński-Pohl,

Krzysztof Wróbel,

Marek StrzałaAuthors Info & Claims

ICAIL '19: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law

Pages 234 - 238

https://doi.org/10.1145/3322640.3326727

Published: 17 June 2019 Publication History

Abstract

The primary objective of this research is finding correspondence between legal and extra-legal terms in Polish by employing unsupervised methods, such as statistics and word embeddings. We investigate the possibility to construct a legal dictionary automatically by employing statistical methods for identifying the legal terms (including multi-word entities) and then finding correspondence between these terms and extralegal terminology used by laymen, by employing word embeddings inducing algorithms. We compare two popular libraries word2vec and GloVe in a synthetic experiment showing the superiority of word2vec CBOW negative sampling variant in the described problem.

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Cited By

Greńczuk AChomiak-Orsa ITryczyńska K(2025)AI-Supported Translation Tools for Legal TextsProcedia Computer Science10.1016/j.procs.2024.09.707246:C(5545-5554)Online publication date: 30-Jan-2025
https://dl.acm.org/doi/10.1016/j.procs.2024.09.707
Berquand AMoshfeghi YRiccardi A(2020)Space mission design ontology: extraction of domain-specific entities and concepts similarity analysisAIAA Scitech 2020 Forum10.2514/6.2020-2253Online publication date: 5-Jan-2020
https://doi.org/10.2514/6.2020-2253
Strąk TTuszyński M(2020)Quantitative analysis of a private tax rulings corpusProcedia Computer Science10.1016/j.procs.2020.09.322176(2445-2455)Online publication date: 2020
https://doi.org/10.1016/j.procs.2020.09.322
Show More Cited By

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Automatic Construction of a Polish Legal Dictionary with Mappings to Extra-Legal Terms Established via Word Embeddings

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cover image ACM Conferences

ICAIL '19: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law

June 2019

312 pages

ISBN:9781450367547

DOI:10.1145/3322640

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGAI: ACM Special Interest Group on Artificial Intelligence

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Univ. of Montreal: University of Montreal
AAAI
IAAIL: Intl Asso for Artifical Intel & Law

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2019

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Narodowe Centrum Bada? i Rozwoju

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ICAIL '19

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SIGAI

ICAIL '19: Seventeenth International Conference on Artificial Intelligence and Law

June 17 - 21, 2019

QC, Montreal, Canada

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Cited By

Greńczuk AChomiak-Orsa ITryczyńska K(2025)AI-Supported Translation Tools for Legal TextsProcedia Computer Science10.1016/j.procs.2024.09.707246:C(5545-5554)Online publication date: 30-Jan-2025
https://dl.acm.org/doi/10.1016/j.procs.2024.09.707
Berquand AMoshfeghi YRiccardi A(2020)Space mission design ontology: extraction of domain-specific entities and concepts similarity analysisAIAA Scitech 2020 Forum10.2514/6.2020-2253Online publication date: 5-Jan-2020
https://doi.org/10.2514/6.2020-2253
Strąk TTuszyński M(2020)Quantitative analysis of a private tax rulings corpusProcedia Computer Science10.1016/j.procs.2020.09.322176(2445-2455)Online publication date: 2020
https://doi.org/10.1016/j.procs.2020.09.322
Dal Pont TSabo IHübner JRover A(2020)Impact of Text Specificity and Size on Word Embeddings Performance: An Empirical Evaluation in Brazilian Legal DomainIntelligent Systems10.1007/978-3-030-61377-8_36(521-535)Online publication date: 20-Oct-2020
https://dl.acm.org/doi/10.1007/978-3-030-61377-8_36

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