2.3k citations · 4.7k across the 88 of their papers we have counts for
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DisSent: Sentence Representation Learning from Explicit Discourse Relations
Allen Nie, Erin D. Bennett, Noah D. Goodman
Learning effective representations of sentences is one of the core missions of natural language understanding. Existing models either train on a vast amount of text, or require cos…
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
N. Siddharth, Brooks Paige, Jan-Willem van de Meent +5
Variational autoencoders (VAEs) learn representations of data by jointly training a probabilistic encoder and decoder network. Typically these models encode all features of the dat…
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding
Will Monroe, Robert X. D. Hawkins, Noah D. Goodman +1
We present a model of pragmatic referring expression interpretation in a grounded communication task (identifying colors from descriptions) that draws upon predictions from two rec…