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Charles Condevaux
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2020 – today
- 2023
- [c7]Charles Condevaux, Sébastien Harispe:
LSG Attention: Extrapolation of Pretrained Transformers to Long Sequences. PAKDD (1) 2023: 443-454 - 2022
- [c6]Sid Ali Mahmoudi, Charles Condevaux, Bruno Mathis, Guillaume Zambrano, Stéphane Mussard:
NER sur décisions judiciaires françaises : CamemBERT Judiciaire ou méthode ensembliste ? EGC 2022: 281-288 - [c5]Charles Condevaux, Bruno Mathis, Sid Ali Mahmoudi, Stéphane Mussard, Guillaume Zambrano:
Linking Appellate Judgments to Tribunal Judgments - Benchmarking Different ML Techniques. JURIX 2022: 33-42 - [c4]Sid Ali Mahmoudi, Guillaume Zambrano, Charles Condevaux, Stéphane Mussard:
Scribe: A Specialized Collaborative Tool for Legal Judgment Annotation. JURIX 2022: 290-293 - [c3]Charles Condevaux, Sébastien Harispe, Stéphane Mussard:
Fair and Efficient Alternatives to Shapley-based Attribution Methods. ECML/PKDD (1) 2022: 309-324 - [i1]Charles Condevaux, Sébastien Harispe:
LSG Attention: Extrapolation of pretrained Transformers to long sequences. CoRR abs/2210.15497 (2022) - 2021
- [b1]Charles Condevaux:
Méthodes d'apprentissage automatique pour l'analyse de corpus jurisprudentiels. (Machine learning methods for the analysis of jurisprudential corpus). University of Nîmes, France, 2021 - 2020
- [c2]Charles Condevaux, Sébastien Harispe, Stéphane Mussard, Guillaume Zambrano:
Classification One-Shot faiblement supervisée par réseaux de neurones récurrents avec attention : application à la détection de résultat juridique. EGC 2020: 277-284
2010 – 2019
- 2019
- [c1]Charles Condevaux, Sébastien Harispe, Stéphane Mussard, Guillaume Zambrano:
Weakly Supervised One-Shot Classification Using Recurrent Neural Networks with Attention: Application to Claim Acceptance Detection. JURIX 2019: 23-32
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