25 citations · 39 across the 3 of their papers we have counts for
5 papers
LARG, Language-based Automatic Reward and Goal Generation
Julien Perez, Denys Proux, Claude Roux +1
Goal-conditioned and Multi-Task Reinforcement Learning (GCRL and MTRL) address numerous problems related to robot learning, including locomotion, navigation, and manipulation scena…
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…
Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness
Alexandre Bérard, Ioan Calapodescu, Marc Dymetman +3
We share a French-English parallel corpus of Foursquare restaurant reviews (https://europe.naverlabs.com/research/natural-language-processing/machine-translation-of-restaurant-revi…
Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task
Alexandre Bérard, Ioan Calapodescu, Claude Roux
This paper describes the systems that we submitted to the WMT19 Machine Translation robustness task. This task aims to improve MT's robustness to noise found on social media, like…
Enriching a Text by Semantic Disambiguation for Information Extraction
Bernard Jacquemin, Caroline Brun, Claude Roux
External linguistic resources have been used for a very long time in information extraction. These methods enrich a document with data that are semantically equivalent, in order to…