Abstract
Pierre Daix-Moreux, Matthias Gallé |
TextGraphs-2019, 13th Workshop on Graph-Based Natural Language Processing, EMNLP, Hong Kong, China, 4 November, 2019 |
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@inproceedings{daix2019joint, title={Joint Semantic and Distributional Word Representations with Multi-Graph Embeddings}, author={Daix-Moreux, Pierre and Gall{\'e}, Matthias}, booktitle={Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)}, pages={118--123}, year={2019} }
Abstract
Word embeddings continue to be of great use for NLP researchers and practitioners due to their training speed and easiness of use and distribution. Prior work has shown that the representation of those words can be improved by the use of semantic knowledge-bases. In this paper we propose a novel way of combining those knowledge-bases with the lexical information of co-occurrences of words remains. It is conceptually clear, as it consists in mapping all information into a multigraph and modifying existing node embeddings techniques to compute word representation. Our experiments show improved results than vanilla word embeddings and retrofitting techniques using the same information, on a variety of data-sets of word similarities.
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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