57 citations · 61 across the 7 of their papers we have counts for
Showing 2017 · cs.CLShow all
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cs.CL2017
High-risk learning: acquiring new word vectors from tiny data
Aurelie Herbelot, Marco Baroni
Distributional semantics models are known to struggle with small data. It is generally accepted that in order to learn 'a good vector' for a word, a model must have sufficient exam…
cs.CL2017
Pay Attention to Those Sets! Learning Quantification from Images
Ionut Sorodoc, Sandro Pezzelle, Aurélie Herbelot +2
Major advances have recently been made in merging language and vision representations. But most tasks considered so far have confined themselves to the processing of objects and le…