2019
Garofalakis, John; Plessas, Konstantinos; Plessas, Athanasios; Spiliopoulou, Panoraia
In: Information, vol. 11, no. 1, 2019.
Abstract | Links | BibTeX | Ετικέτες: Akoma Ntoso, domain specific language, Legal Big Data, Legal Open Data, legal parsing, natural language processing, Open Data Ecosystem
@article{Garofalakis2019b,
title = {Application of an Ecosystem Methodology Based on Legal Language Processing for the Transformation of Court Decisions and Legal Opinions into Open Data},
author = {John Garofalakis and Konstantinos Plessas and Athanasios Plessas and Panoraia Spiliopoulou},
doi = {10.3390/info11010010},
year = {2019},
date = {2019-12-22},
journal = {Information},
volume = {11},
number = {1},
abstract = {Regulation of modern societies requires the generation of large sets of heterogeneous legal documents: bills, acts, decrees, administrative decisions, court decisions, legal opinions, circulars, etc. More and more legal publishing bodies publish these documents online, although usually in formats that are not machine-readable and without following Open Data principles. Until an open by default generation and publication process is employed, ex-post transformation of legal documents into Legal Open Data is required. Since manual transformation is a time-consuming and costly process, automated methods need to be applied. While some research efforts toward the automation of the transformation process exist, the alignment of such approaches with proposed Open Data methodologies in order to promote data exploitation is still an open issue. In this paper, we present a methodology aligned to the Open Data ecosystem approach for the automated transformation of Greek court decisions and legal opinions into Legal Open Data that builds on legal language processing methods and tools. We show that this approach produces Legal Open Data of satisfying quality while highly reducing the need for manual intervention.},
keywords = {Akoma Ntoso, domain specific language, Legal Big Data, Legal Open Data, legal parsing, natural language processing, Open Data Ecosystem},
pubstate = {published},
tppubtype = {article}
}
Regulation of modern societies requires the generation of large sets of heterogeneous legal documents: bills, acts, decrees, administrative decisions, court decisions, legal opinions, circulars, etc. More and more legal publishing bodies publish these documents online, although usually in formats that are not machine-readable and without following Open Data principles. Until an open by default generation and publication process is employed, ex-post transformation of legal documents into Legal Open Data is required. Since manual transformation is a time-consuming and costly process, automated methods need to be applied. While some research efforts toward the automation of the transformation process exist, the alignment of such approaches with proposed Open Data methodologies in order to promote data exploitation is still an open issue. In this paper, we present a methodology aligned to the Open Data ecosystem approach for the automated transformation of Greek court decisions and legal opinions into Legal Open Data that builds on legal language processing methods and tools. We show that this approach produces Legal Open Data of satisfying quality while highly reducing the need for manual intervention.
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.
2015
Garofalakis, John; Plessas, Konstantinos; Plessas, Athanasios
Automated Analysis of Greek Legislative Texts for Version Control: Limitations, Caveats and Challenges Proceedings Article
In: Proceedings of the 19th Panhellenic Conference on Informatics, pp. 115–116, ACM, Athens, Greece, 2015, ISBN: 978-1-4503-3551-5.
Abstract | Links | BibTeX | Ετικέτες: law text analysis, legislation, natural language processing, version control
@inproceedings{Garofalakis:2015:AAG:2801948.2802037,
title = {Automated Analysis of Greek Legislative Texts for Version Control: Limitations, Caveats and Challenges},
author = { John Garofalakis and Konstantinos Plessas and Athanasios Plessas},
url = {http://doi.acm.org/10.1145/2801948.2802037},
doi = {10.1145/2801948.2802037},
isbn = {978-1-4503-3551-5},
year = {2015},
date = {2015-10-01},
booktitle = {Proceedings of the 19th Panhellenic Conference on Informatics},
pages = {115--116},
publisher = {ACM},
address = {Athens, Greece},
series = {PCI '15},
abstract = {Greek legislation is produced in the form of texts often containing amendments and references to precedent laws. This structure imposes an increased cognitive complexity and makes it very difficult for citizens to reconstruct the current version of a law. In this paper we present our ongoing work on the automated analysis of Greek legislative texts, aiming to track the evolution of laws through version control systems. We put emphasis on the challenges, the limitations and the encountered problems of our attempt so far, which are due to the unfriendly - from a technological perspective - legislative procedures that are followed.},
keywords = {law text analysis, legislation, natural language processing, version control},
pubstate = {published},
tppubtype = {inproceedings}
}
Greek legislation is produced in the form of texts often containing amendments and references to precedent laws. This structure imposes an increased cognitive complexity and makes it very difficult for citizens to reconstruct the current version of a law. In this paper we present our ongoing work on the automated analysis of Greek legislative texts, aiming to track the evolution of laws through version control systems. We put emphasis on the challenges, the limitations and the encountered problems of our attempt so far, which are due to the unfriendly - from a technological perspective - legislative procedures that are followed.