528 citations · 4.4k across the 100 of their papers we have counts for
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cs.CL2018★ 31 cited
Probabilistic FastText for Multi-Sense Word Embeddings
Ben Athiwaratkun, Andrew Gordon Wilson, Anima Anandkumar
We introduce Probabilistic FastText, a new model for word embeddings that can capture multiple word senses, sub-word structure, and uncertainty information. In particular, we repre…
cs.CL2018★ 4 cited
Hierarchical Density Order Embeddings
Ben Athiwaratkun, Andrew Gordon Wilson
By representing words with probability densities rather than point vectors, probabilistic word embeddings can capture rich and interpretable semantic information and uncertainty. T…