Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Karl Branting"'
Autor:
Karl Branting, Sarah McLeod, Sarah Howell, Brandy Weiss, Brett Profitt, James Tanner, Ian Gross, David Shin
Publikováno v:
Artificial Intelligence and Law.
Autor:
Mark S. Pfaff, Bill Liao, Lisa Ferro, John S. Aberdeen, Craig Pfeifer, Bradford Brown, L. Karl Branting, Brandy Weiss
Publikováno v:
Artificial Intelligence and Law. 29:213-238
Legal decision-support systems have the potential to improve access to justice, administrative efficiency, and judicial consistency, but broad adoption of such systems is contingent on development of technologies with low knowledge-engineering, valid
Autor:
Serena Villata, Michal Araszkiewicz, Kevin Ashley, Trevor Bench-Capon, L. Karl Branting, Jack G. Conrad, Adam Wyner
Publikováno v:
Artificial Intelligence and Law
Artificial Intelligence and Law, 2022, 30 (4), pp.4143-4149. ⟨10.1007/s10506-022-09327-6⟩
Artificial Intelligence and Law, 2022, 30 (4), pp.4143-4149. ⟨10.1007/s10506-022-09327-6⟩
The first issue of Artificial Intelligence and Law journal was published in 1992. This paper offers some commentaries on papers drawn from the Journal’s third decade. They indicate a major shift within Artificial Intelligence, both generally and in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8765e2fec5fd62f9030fe1024c1bfc08
https://ruj.uj.edu.pl/xmlui/handle/item/304315
https://ruj.uj.edu.pl/xmlui/handle/item/304315
Autor:
Michał Araszkiewicz, Charlotte S. Alexander, Jaromír Šavelka, Aurore Clément Troussel, Hannes Westermann, David Restrepo Amariles, Karl Branting, Jakub Harašta, Matthias Grabmair, Tereza Novotná, Rajaa El Hamdani, Shiwanni Johnson, Elizabeth Chika Tippett, Sébastien Meeùs, Alexandra Ashley, Karim Benyekhlef, Mattia Falduti, Kevin D. Ashley, Jayla C. Grant
Publikováno v:
ICAIL
In this paper, we examine the use of multi-lingual sentence embeddings to transfer predictive models for functional segmentation of adjudicatory decisions across jurisdictions, legal systems (common and civil law), languages, and domains (i.e. contex
Access to justice could be significantly expanded if decision support systems were able to accurately interpret statements of fact by pro se (self-represented) litigants. Prior research, which has demonstrated that case decisions can often be predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f311ea32b1c39aeabb6ad374f6ce3ac
https://doi.org/10.3233/faia200867
https://doi.org/10.3233/faia200867
Autor:
Jack G. Conrad, L. Karl Branting
Publikováno v:
Artificial Intelligence and Law. 26:99-102
Autor:
Laksshman Sundaram, Craig Pfeifer, William F. Hamilton, Ali Sadeghian, Karl Branting, Daisy Zhe Wang
Publikováno v:
Artificial Intelligence and Law. 26:127-144
A large number of cross-references to various bodies of text are used in legal texts, each serving a different purpose. It is often necessary for authorities and companies to look into certain types of these citations. Yet, there is a lack of automat
Autor:
L. Karl Branting
Publikováno v:
Artificial Intelligence and Law. 25:5-27
Logic-based approaches to legal problem solving model the rule-governed nature of legal argumentation, justification, and other legal discourse but suffer from two key obstacles: the absence of efficient, scalable techniques for creating authoritativ
Publikováno v:
ICAIL
Autor:
A. Chakraborty, Bradford Brown, Alexander S. Yeh, Mark S. Pfaff, Lisa Ferro, Karl Branting, Brandy Weiss, Craig Pfeifer
Publikováno v:
ICAIL
Legal decision-support systems have the potential to improve access to justice, administrative efficiency, and judicial consistency, but broad adoption of such systems is contingent on development of technologies with low knowledge-engineering, valid