Search Results for author: Antoine Gourru

Found 10 papers, 3 papers with code

QAnswer: Towards Question Answering Search over Websites

no code implementations17 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.

Knowledge Graphs Question Answering

Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints

no code implementations17 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.

Language Modelling Question Answering

Wikidata as a seed for Web Extraction

no code implementations15 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.

Question Answering

An investigation of structures responsible for gender bias in BERT and DistilBERT

no code implementations12 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)?

Attribute Fairness

Fair Text Classification with Wasserstein Independence

1 code implementation21 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.

Attribute Fairness +2

New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert Finding

1 code implementation7 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.

Network Embedding

Document Network Projection in Pretrained Word Embedding Space

no code implementations16 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.

Clustering General Classification +5

The Cluster Description Problem - Complexity Results, Formulations and Approximations

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.

Clustering

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