Výsledky vyhledávání - "Condevaux, Charles"

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LSG Attention: Extrapolation of pretrained Transformers to long sequences

Autor: Condevaux, Charles, Harispe, Sébastien

Transformer models achieve state-of-the-art performance on a wide range of NLP tasks. They however suffer from a prohibitive limitation due to the self-attention mechanism, inducing $O(n^2)$ complexity with regard to sequence length. To answer this l

Externí odkaz: http://arxiv.org/abs/2210.15497

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Méthodes d'apprentissage automatique pour l'analyse de corpus jurisprudentiels

Autor: Condevaux, Charles

Judicial decisions contain deterministic information (whose content is recurrent from one decision to another) and random information (probabilistic). Both types of information come into play in a judge's decision-making process. The former can reinf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::b83cab5165ced35f0de22d8b8d8cc04e
https://theses.hal.science/tel-03662129

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Classification One-Shot faiblement supervisée par réseaux de neurones récurrents avec attention : application à la détection de résultat juridique

Autor: Condevaux, Charles, Harispe, Sébastien, Mussard, Stéphane, Zambrano, Guillaume

Publikováno v: EGC 2020-Extraction et Gestion des Connaissances
EGC 2020-Extraction et Gestion des Connaissances, Jan 2020, Bruxelles, Belgique

National audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::40b1a56eb7b65b830261f4733b1397d8
https://hal.archives-ouvertes.fr/hal-02884195

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Weakly Supervised One-shot Classification using Recurrent Neural Networks with Attention: Application to Claim Acceptance Detection

Autor: Condevaux, Charles, Harispe, Sébastien, Mussard, Stéphane, Zambrano, Guillaume

Publikováno v: JURIX 2019 32nd International Conference on Legal Knowledge and Information Systems
JURIX 2019 32nd International Conference on Legal Knowledge and Information Systems, Dec 2019, Madrid, Spain

International audience; Determining if a claim is accepted given judge arguments is an important non-trivial task in court decisions analyses. Application of recent efficient machine learning techniques may however be inappropriate for tackling this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5ac2381c5b595dd68e6073259b19ba0a
https://hal.archives-ouvertes.fr/hal-02407405

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Akademický článek

Generalized Gini linear and quadratic discriminant analyses.

Autor: Condevaux, Charles, Mussard, Stéphane, Ouraga, Téa, Zambrano, Guillaume

Publikováno v: METRON; Aug2020, Vol. 78 Issue 2, p219-236, 18p

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