no code implementations • NeurIPS 2018 • Ian Davidson, Antoine Gourru, S Ravi
Since the descriptors/tags were not given to the clustering method, this is not a semi-supervised learning situation.
no code implementations • 16 Jan 2020 • Antoine Gourru, Adrien Guille, Julien Velcin, Julien Jacques
We present Regularized Linear Embedding (RLE), a novel method that projects a collection of linked documents (e. g. citation network) into a pretrained word embedding space.
1 code implementation • 7 Apr 2020 • Robin Brochier, Antoine Gourru, Adrien Guille, Julien Velcin
In this direction, document network embedding methods seem to be an ideal choice for building representations of the scientific literature.
no code implementations • 20 Sep 2022 • Ian Davidson, Michael Livanos, Antoine Gourru, Peter Walker, Julien Velcin, S. S. Ravi
Explainable AI (XAI) is an important developing area but remains relatively understudied for clustering.
1 code implementation • 21 Nov 2023 • Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier
This is more suitable for real-life scenarios compared to existing methods that require annotations of sensitive attributes at train time.
no code implementations • 12 Jan 2024 • Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier
In this paper, we propose an empirical exploration of this problem by formalizing two questions: (1) Can we identify the neural mechanism(s) responsible for gender bias in BERT (and by extension DistilBERT)?
no code implementations • 15 Jan 2024 • Kunpeng Guo, Dennis Diefenbach, Antoine Gourru, Christophe Gravier
On the other side, most of the information on the Web is not published in highly structured data repositories like Wikidata, but rather as unstructured and semi-structured content, more concretely in HTML pages containing text and tables.
no code implementations • 17 Jan 2024 • Kunpeng Guo, Clement Defretiere, Dennis Diefenbach, Christophe Gravier, Antoine Gourru
Question Answering (QA) is increasingly used by search engines to provide results to their end-users, yet very few websites currently use QA technologies for their search functionality.
no code implementations • 17 Jan 2024 • Kunpeng Guo, Dennis Diefenbach, Antoine Gourru, Christophe Gravier
In this work, we demonstrate that this strategy is sub-optimal for fine-tuning QA models, especially under a low QA annotation budget, which is a usual setting in practice due to the extractive QA labeling cost.