Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jaromír Šavelka"'
Autor:
Jaromir Savelka, Kevin D. Ashley
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
The emergence of ChatGPT has sensitized the general public, including the legal profession, to large language models' (LLMs) potential uses (e.g., document drafting, question answering, and summarization). Although recent studies have shown how well
Externí odkaz:
https://doaj.org/article/b896019d04394d09b35b1af86cfe00f8
Publikováno v:
Frontiers in Artificial Intelligence and Applications ISBN: 9781643683645
We propose an adaptive environment (CABINET) to support caselaw analysis (identifying key argument elements) based on a novel cognitive computing framework that carefully matches various machine learning (ML) capabilities to the proficiency of a user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b123951311b958c435a64ce76ec9ed9
https://doi.org/10.3233/faia220456
https://doi.org/10.3233/faia220456
Autor:
Kevin D. Ashley, Jaromír Šavelka
Publikováno v:
Artificial Intelligence and Law. 30:245-289
In this work we study, design, and evaluate computational methods to support interpretation of statutory terms. We propose a novel task of discovering sentences for argumentation about the meaning of statutory terms. The task models the analysis of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15d14cf82bdcccb2a6147123e61d254c
https://doi.org/10.1007/s10506-021-09293-5
https://doi.org/10.1007/s10506-021-09293-5
Publikováno v:
Law in Context. A Socio-legal Journal. 37:134-174
Technological advances in artificial intelligence (AI) are affecting the legal profession. Machine learning (ML) and natural language processing (NLP) enable new legal apps that, to some extent, can analyze contracts, answer legal questions, or predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75dca2882a6e05a07dd84c22b487aa75
https://doi.org/10.26826/law-in-context.v37i1.125
https://doi.org/10.26826/law-in-context.v37i1.125
Machine learning research typically starts with a fixed data set created early in the process. The focus of the experiments is finding a model and training procedure that result in the best possible performance in terms of some selected evaluation me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa5ca0b19c2a1f0c784ca01213dc37a0
https://doi.org/10.3233/faia210316
https://doi.org/10.3233/faia210316
Publikováno v:
ITiCSE
We analyze differences in working habits between well-performing and at-risk students using highly-granular data collected from two semesters of an online project-based, upper-level course on cloud computing at a US institution of higher education. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f92962d126d381abaf70f40793afe5b3
https://doi.org/10.1145/3430665.3456320
https://doi.org/10.1145/3430665.3456320
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5f7a39eebacea0d335ae84d0760f680
https://doi.org/10.1145/3462757.3466149
https://doi.org/10.1145/3462757.3466149
Publikováno v:
ICAIL
In this paper, we assess the use of several deep learning classification algorithms as a step toward automatically preparing succinct summaries of legal decisions. Short case summaries that tease out the decision's argument structure by making explic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b61099a51e6bc42ac61872c0b44eddd1
https://doi.org/10.1145/3462757.3466098
https://doi.org/10.1145/3462757.3466098
Publikováno v:
New Frontiers in Artificial Intelligence ISBN: 9783030799410
JSAI-isAI Workshops
JSAI-isAI Workshops
The assessment of the relevance of legal documents and the application of legal rules embodied in legal documents are some of the key processes in the field of law. In this paper, we present our approach to the 2020 Competition on Legal Information E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0475f5d9199d22eb5d5fa5104e6e6de
https://doi.org/10.1007/978-3-030-79942-7_18
https://doi.org/10.1007/978-3-030-79942-7_18
Publikováno v:
JURIX
Argument mining, a subfield of natural language processing and text mining, is a process of extracting argumentative text portions and identifying the role the selected texts play. Legal argument mining targets the argumentative parts of a legal text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66ea77530b2eaea04b565aa76276f819
https://doi.org/10.3233/faia200862
https://doi.org/10.3233/faia200862