Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Hannes Westermann"'
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:
Olivier Salaün, Aurore Troussel, Sylvain Longhais, Hannes Westermann, Philippe Langlais, Karim Benyekhlef
Publikováno v:
Frontiers in Artificial Intelligence and Applications ISBN: 9781643683645
Legal text summarization is generally formalized as an extractive text summarization task applied to court decisions from which the most relevant sentences are identified and returned as a gist meant to be read by legal experts. However, such summari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::524e9591be9de2b6f3c78a9d45c580a4
https://doi.org/10.3233/faia220455
https://doi.org/10.3233/faia220455
Publikováno v:
IEEE Transactions on Vehicular Technology. 69:6578-6591
The convenience of using private cars has an accompanying parking challenge which becomes a significant issue in congested metropolitans and downtown areas. The explosive increase in the number of vehicles has substantially raised the issue of findin
Autor:
Arthur Maneuvrier, Hannes Westermann
Publikováno v:
PRESENCE: Virtual and Augmented Reality. 29:141-169
The question of the relationship between the sense of presence and performance in virtual reality is fundamental for anyone wishing to use the tool methodologically. Indeed, if the sense of presence can modify performance per se, then individual fact
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
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
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:
Natural Language Processing and Information Systems ISBN: 9783030805982
NLDB
NLDB
In order to justify rulings, legal documents need to present facts as well as an analysis built thereon. In this paper, we present two methods to automatically extract case-relevant facts from French-language legal documents pertaining to tenant-land
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74a730ae98eb22c2d54faee7d0c5d4e8
https://doi.org/10.1007/978-3-030-80599-9_17
https://doi.org/10.1007/978-3-030-80599-9_17
Publikováno v:
JURIX
Human-performed annotation of sentences in legal documents is an important prerequisite to many machine learning based systems supporting legal tasks. Typically, the annotation is done sequentially, sentence by sentence, which is often time consuming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3611be0ae38635752f150667ad8007dc
https://doi.org/10.3233/faia200860
https://doi.org/10.3233/faia200860
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783030513092
NLDB
NLDB
The Regie du Logement du Quebec (RDL) is a tribunal with exclusive jurisdiction in matters regarding rental leases. Within the framework of the ACT (Autonomy Through Cyberjustice Technologies) project, we processed an original collection of court dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dca23af2ca5872b72180f423451077d
https://doi.org/10.1007/978-3-030-51310-8_13
https://doi.org/10.1007/978-3-030-51310-8_13