2016
Garofalakis, John; Plessas, Konstantinos; Plessas, Athanasios
A semi-automatic system for the consolidation of Greek legislative texts Proceedings Article
In: Proceedings of the 20th Pan-Hellenic Conference on Informatics, pp. 1:1–1:6, ACM, New York, NY, USA, 2016, ISBN: 978-1-4503-4789-1.
Abstract | Links | BibTeX | Ετικέτες: Greek legislation, law revisions, law text analysis, natural language processing, regular expressions
@inproceedings{Garofalakis2016,
title = {A semi-automatic system for the consolidation of Greek legislative texts},
author = {John Garofalakis and Konstantinos Plessas and Athanasios Plessas},
url = {http://doi.acm.org/10.1145/3003733.3003735
https://dl.dropboxusercontent.com/u/104921582/pci2016_presentation.pdf},
doi = {10.1145/3003733.3003735},
isbn = {978-1-4503-4789-1},
year = {2016},
date = {2016-11-12},
booktitle = {Proceedings of the 20th Pan-Hellenic Conference on Informatics},
pages = {1:1--1:6},
publisher = {ACM},
address = {New York, NY, USA},
series = {PCI '16},
abstract = {The process of manually consolidating the historical revisions of law documents, by finding and applying in the appropriate chronological order all existing modifications to the original text, is usually tedious and mentally demanding. However, since legal language is highly structured, natural language processing techniques can be adopted to automate this process. In this paper, we present a semi-automatic system for the consolidation of Greek legislative texts, following an approach based on regular expressions. Consolidated versions of laws are pushed in a revision control system, enhancing open access to legislation. A manual step is necessary in order to fix system failures caused by syntax errors or related to wrong application of the legal rules by law makers.},
keywords = {Greek legislation, law revisions, law text analysis, natural language processing, regular expressions},
pubstate = {published},
tppubtype = {inproceedings}
}
The process of manually consolidating the historical revisions of law documents, by finding and applying in the appropriate chronological order all existing modifications to the original text, is usually tedious and mentally demanding. However, since legal language is highly structured, natural language processing techniques can be adopted to automate this process. In this paper, we present a semi-automatic system for the consolidation of Greek legislative texts, following an approach based on regular expressions. Consolidated versions of laws are pushed in a revision control system, enhancing open access to legislation. A manual step is necessary in order to fix system failures caused by syntax errors or related to wrong application of the legal rules by law makers.
Garofalakis, John; Plessas, Konstantinos; Plessas, Athanasios
Automatic identification, extraction and application of textual amendments in Greek legislative texts Proceedings Article
In: Legal Knowledge and Information Systems. JURIX 2016: The Twenty-Ninth Annual Conference, pp. 187-190, IOS Press, 2016, ISBN: 978-1-61499-726-9.
Abstract | Links | BibTeX | Ετικέτες: Greek legislation, legal Artificial Intelligence, natural language processing, regular expressions, textual amendments
@inproceedings{Garofalakis2016b,
title = {Automatic identification, extraction and application of textual amendments in Greek legislative texts},
author = {John Garofalakis and Konstantinos Plessas and Athanasios Plessas},
url = {http://ebooks.iospress.nl/publication/45757},
doi = {10.3233/978-1-61499-726-9-187},
isbn = {978-1-61499-726-9},
year = {2016},
date = {2016-10-12},
booktitle = {Legal Knowledge and Information Systems. JURIX 2016: The Twenty-Ninth Annual Conference},
volume = {294},
pages = {187-190},
publisher = {IOS Press},
series = { Frontiers in Artificial Intelligence and Applications},
abstract = {The automatic analysis of legislative texts using Natural Language Processing techniques is able to facilitate several tasks related to the legislation lifecycle, such as the consolidation of different versions of legal documents. We present our work on the automatic identification, extraction and application of textual amendments in Greek legislative texts, based on pattern matching with regular expressions, which is part of a semi-automatic system for the consolidation of Greek laws.},
keywords = {Greek legislation, legal Artificial Intelligence, natural language processing, regular expressions, textual amendments},
pubstate = {published},
tppubtype = {inproceedings}
}
The automatic analysis of legislative texts using Natural Language Processing techniques is able to facilitate several tasks related to the legislation lifecycle, such as the consolidation of different versions of legal documents. We present our work on the automatic identification, extraction and application of textual amendments in Greek legislative texts, based on pattern matching with regular expressions, which is part of a semi-automatic system for the consolidation of Greek laws.