Thomas Gerald

According to our database, Thomas Gerald authored at least 21 papers between 2017 and 2024.

Collaborative distances:

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

2024

CQuAE: A new Contextualized QUestion Answering corpus on Education domain.

Thomas Gerald, Louis Tamames, Sofiane Ettayeb, Ha-Quang Le, Patrick Paroubek, Anne Vilnat

Data Knowl. Eng., 2024

Les petits modèles sont bons : une étude empirique de classification dans un contexte zero-shot.

Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset

Proceedings of the Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, 2024

CQuAE : Un nouveau corpus de question-réponse pour l'enseignement.

Thomas Gerald, Louis Tamames, Sofiane Ettayeb, Patrick Paroubek, Anne Vilnat

Proceedings of the Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, 2024

Small Language Models Are Good Too: An Empirical Study of Zero-Shot Classification.

Pierre Lepagnol, Thomas Gerald, Sahar Ghannay, Christophe Servan, Sophie Rosset

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Introducing CQuAE : A New French Contextualised Question-Answering Corpus for the Education Domain.

Thomas Gerald, Anne Vilnat, Sofiane Ettayeb, Louis Tamames, Patrick Paroubek

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

A hyperbolic approach for learning communities on graphs.

Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander

Data Min. Knowl. Discov., May, 2023

CoSPLADE : Adaptation d'un Modèle Neuronal Basé sur des Représentations Parcimonieuses pour la Recherche d'Information Conversationnelle.

Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarksi, Laure Soulier

Proceedings of the Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications, 2023

Sélectionner les ?bons? passages pour créer les ?bonnes? questions : Analyse et Évaluation d'un nouveau Corpus de Questions et Réponses pour l'Éducation.

Thomas Gerald, Sofiane Ettayeb, Ha Quang Le, Gabriel Illouz, Patrick Paroubek, Anne Vilnat

Proceedings of the Extraction et Gestion des Connaissances, 2023

CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval.

Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier

Proceedings of the Advances in Information Retrieval, 2023

2022

MLIA-DAC@TREC CAsT 2022: Sparse Contextualized Query Embedding.

Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier

Proceedings of the Thirty-First Text REtrieval Conference, 2022

Continual Learning of Long Topic Sequences in Neural Information Retrieval.

Thomas Gerald, Laure Soulier

Proceedings of the Advances in Information Retrieval, 2022

Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs.

Hanane Djeddal, Thomas Gerald, Laure Soulier, Karen Pinel-Sauvagnat, Lynda Tamine

Proceedings of the Advances in Information Retrieval, 2022

Continual Learning of Long Topic Sequences in Neural Information Retrieval - abstract.

Thomas Gerald, Laure Soulier

Proceedings of the 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), 2022

Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs - Abstract.

Hanane Djeddal, Thomas Gerald, Laure Soulier, Karen Pinel-Sauvagnat, Lynda Tamine

Proceedings of the 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), 2022

2021

MLIA-LIP6@TREC-CAST2021: Feature augmentation for query recontextualization and passage ranking.

Nawel Astaouti, Thomas Gerald, Maya Touzari, Laure Soulier, Jian-Yun Nie

Proceedings of the Thirtieth Text REtrieval Conference, 2021

2020

Representation Learning for Large Scale Classification. (Apprentissage de représentation pour la classification large échelle).

Thomas Gerald

PhD thesis, 2020

Geomstats: A Python Package for Riemannian Geometry in Machine Learning.

Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec

CoRR, 2020

A Practical Hands-on for Learning Graph Data Communities on Manifolds.

Thomas Gerald, Hadi Zaatiti, Hatem Hajri

Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

Introduction to Geometric Learning in Python with Geomstats.

Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

2019

Binary Stochastic Representations for Large Multi-class Classification.

Thomas Gerald, Aurélia Léon, Nicolas Baskiotis, Ludovic Denoyer

CoRR, 2019

2017

Binary Stochastic Representations for Large Multi-class Classification.

Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer

Proceedings of the Neural Information Processing - 24th International Conference, 2017