2.1k citations · 5.2k across the 53 of their papers we have counts for
3 papers · 2 filters
Learning and Evaluating Sparse Interpretable Sentence Embeddings
Valentin Trifonov, Octavian-Eugen Ganea, Anna Potapenko +1
Previous research on word embeddings has shown that sparse representations, which can be either learned on top of existing dense embeddings or obtained through model constraints du…
End-to-End Neural Entity Linking
Nikolaos Kolitsas, Octavian-Eugen Ganea, Thomas Hofmann
Entity Linking (EL) is an essential task for semantic text understanding and information extraction. Popular methods separately address the Mention Detection (MD) and Entity Disamb…
Zero-Shot Dual Machine Translation
Lierni Sestorain, Massimiliano Ciaramita, Christian Buck +1
Neural Machine Translation (NMT) systems rely on large amounts of parallel data. This is a major challenge for low-resource languages. Building on recent work on unsupervised and s…