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2020 – today
- 2024
[c8]Tran Thi Hong Hanh
, Carlos-Emiliano González-Gallardo, Julien Delaunay, Antoine Doucet, Senja Pollak:
Is Prompting What Term Extraction Needs? TSD (1) 2024: 17-29- [c7]Julien Delaunay, Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Mathilde Ducos, Nicolas Sidere, Antoine Doucet, Senja Pollak, Olivier de Viron:
CoastTerm: A Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature. TSD (1) 2024: 97-109 - [i7]Julien Delaunay:
Explainability for Machine Learning Models: From Data Adaptability to User Perception. CoRR abs/2402.10888 (2024) - [i6]Julien Delaunay, Luis Galárraga, Christine Largouët:
Does It Make Sense to Explain a Black Box With Another Black Box? CoRR abs/2404.14943 (2024) - [i5]Julien Delaunay, Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Mathilde Ducos, Nicolas Sidere, Antoine Doucet, Senja Pollak, Olivier de Viron:
CoastTerm: a Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature. CoRR abs/2406.09128 (2024) - 2023
- [b1]Julien Delaunay:
Explainability for Machine Learning Models: From Data Adaptability to User Perception: Strategies for Faithful and Understandable Explanations. (Explicabilité des modèles d'apprentissage automatique : De l'adaptabilité des données à la perception de l'utilisateur / Explicabilité des modèles d'apprentissage automatique : De l'adaptabilité des données à la perception de l'utilisateur: Stratégies pour des explications fidèles et compréhensibles). University of Rennes 1, France, 2023 - [c6]Antoine Chaffin, Julien Delaunay:
"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation. BlackboxNLP@EMNLP 2023: 76-88 - [c5]Antoine Chaffin, Julien Delaunay:
"Honey, Tell Me What's Wrong", Explicabilité Globale des Modèles de TAL par la Génération Coopérative. CORIA-TALN (1) 2023: 105-122 - [i4]Julien Delaunay, Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Nicolas Sidere, Antoine Doucet:
A Comprehensive Survey of Document-level Relation Extraction (2016-2023). CoRR abs/2309.16396 (2023) - [i3]Antoine Chaffin, Julien Delaunay:
"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation. CoRR abs/2310.18063 (2023) - 2022
- [c4]Julien Delaunay, Luis Galárraga, Christine Largouët:
When Should We Use Linear Explanations? CIKM 2022: 355-364 - [c3]Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, Vaishnavi Bhargava:
s-LIME: Reconciling Locality and Fidelity in Linear Explanations. IDA 2022: 102-114 - [i2]Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, Vaishnavi Bhargava:
s-LIME: Reconciling Locality and Fidelity in Linear Explanations. CoRR abs/2208.01510 (2022) - 2020
- [c2]Julien Delaunay, Luis Galárraga, Christine Largouët:
Improving Anchor-based Explanations. CIKM 2020: 3269-3272 - [c1]Luis Galárraga, Julien Delaunay, Jean-Louis Dessalles:
REMI: Mining Intuitive Referring Expressions on Knowledge Bases. EDBT 2020: 387-390
2010 – 2019
- 2019
- [i1]Luis Galárraga, Julien Delaunay, Jean-Louis Dessalles:
REMI: Mining Intuitive Referring Expressions on Knowledge Bases. CoRR abs/1911.01157 (2019)
Coauthor Index
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