116 citations · 272 across the 10 of their papers we have counts for
3 papers · 1 filter
Using Whole Document Context in Neural Machine Translation
Valentin Macé, Christophe Servan
In Machine Translation, considering the document as a whole can help to resolve ambiguities and inconsistencies. In this paper, we propose a simple yet promising approach to add co…
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases
Estelle Maudet, Oralie Cattan, Maureen de Seyssel +1
This paper reports on Qwant Research contribution to tasks 2 and 3 of the DEFT 2019's challenge, focusing on French clinical cases analysis. Task 2 is a task on semantic similarity…
Image search using multilingual texts: a cross-modal learning approach between image and text
Maxime Portaz, Hicham Randrianarivo, Adrien Nivaggioli +3
Multilingual (or cross-lingual) embeddings represent several languages in a unique vector space. Using a common embedding space enables for a shared semantic between words from dif…