Abstract
Theo Trouillon, Eric Gaussier, Christopher Dance, Guillaume Bouchard |
Journal of Artificial Intelligence Research, 64, pp. 21-53 |
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@article{trouillon2019inductive, title={On inductive abilities of latent factor models for relational learning}, author={Trouillon, Th{\'e}o and Gaussier, {\'E}ric and Dance, Christopher R and Bouchard, Guillaume}, journal={Journal of Artificial Intelligence Research}, volume={64}, pages={21--53}, year={2019} }
Abstract
Latent factor models are increasingly popular for modeling multi-relational knowledge graphs. By their vectorial nature, it is not only hard to interpret why this class of models works so well, but also to understand where they fail and how the might be improved. We conduct an experimental survey of state-of-the-art models, not towards a purely comparative end, but as a means to get insight about their inductive abilities. To assess the strengths and weaknesses of each model, we create simple tasks that exhibit first atomic properties of binary relations, and then common inter-relational inference through synthetic families. Based on these experimental results, we propose new research directions to improve on existing models.
1. Difference in female/male salary: 33/40 points
2. Difference in salary increases female/male: 35/35 points
3. Salary increases upon return from maternity leave: uncalculable
4. Number of employees in under-represented gender in 10 highest salaries: 0/10 points
NAVER France targets (with respect to the 2022 index) are as follows:
En 2022, NAVER France a obtenu les notes suivantes pour chacun des indicateurs :
1. Les écarts de salaire entre les femmes et les hommes: 33 sur 40 points
2. Les écarts des augmentations individuelles entre les femmes et les hommes : 35 sur 35 points
3. Toutes les salariées augmentées revenant de congé maternité : non calculable
4. Le nombre de salarié du sexe sous-représenté parmi les 10 plus hautes rémunérations : 0 sur 10 points
Les objectifs de progression pour l’index 2022 de NAVER France sont :
NAVER LABS Europe 6-8 chemin de Maupertuis 38240 Meylan France Contact
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