Julien Delaunay

According to our database, Julien Delaunay authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Does It Make Sense to Explain a Black Box With Another Black Box?

Julien Delaunay, Luis Galárraga, Christine Largouët

CoRR, 2024

Explainability for Machine Learning Models: From Data Adaptability to User Perception.

Julien Delaunay

CoRR, 2024

Is Prompting What Term Extraction Needs?

Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Julien Delaunay, Antoine Doucet, Senja Pollak

Proceedings of the Text, Speech, and Dialogue - 27th International Conference, 2024

CoastTerm: A Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature.

Julien Delaunay, Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Mathilde Ducos, Nicolas Sidere, Antoine Doucet, Senja Pollak, Olivier de Viron

Proceedings of the Text, Speech, and Dialogue - 27th International Conference, 2024

2023

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).

Julien Delaunay

PhD thesis, 2023

A Comprehensive Survey of Document-level Relation Extraction (2016-2023).

Julien Delaunay, Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Nicolas Sidere, Antoine Doucet

CoRR, 2023

"Honey, Tell Me What's Wrong", Explicabilité Globale des Modèles de TAL par la Génération Coopérative.

Antoine Chaffin, Julien Delaunay

Proceedings of the Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2023 - Volume 1 : travaux de recherche originaux, 2023

"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation.

Antoine Chaffin, Julien Delaunay

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

2022

s-LIME: Reconciling Locality and Fidelity in Linear Explanations.

Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, Vaishnavi Bhargava

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

When Should We Use Linear Explanations?

Julien Delaunay, Luis Galárraga, Christine Largouët

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

REMI: Mining Intuitive Referring Expressions on Knowledge Bases.

Luis Galárraga, Julien Delaunay, Jean-Louis Dessalles

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Improving Anchor-based Explanations.

Julien Delaunay, Luis Galárraga, Christine Largouët

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020