116 citations · 272 across the 10 of their papers we have counts for
Showing 2019 · cs.CLShow all
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cs.CL2019★ 25 cited
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…
cs.CL2019
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…