3.5k citations · 5.4k across the 22 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.CL2017
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau, Douwe Kiela, Holger Schwenk +2
Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features. Efforts to obtain embeddings for larger chunks of…
cs.CL2017
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
Holger Schwenk, Matthijs Douze
In this paper, we use the framework of neural machine translation to learn joint sentence representations across six very different languages. Our aim is that a representation whic…