1.1k citations · 2.8k across the 21 of their papers we have counts for
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cs.CL2019★ 7 cited
Compound Probabilistic Context-Free Grammars for Grammar Induction
Yoon Kim, Chris Dyer, Alexander M. Rush
We study a formalization of the grammar induction problem that models sentences as being generated by a compound probabilistic context-free grammar. In contrast to traditional form…
cs.LG2019★ 6 cited
Amortized Bethe Free Energy Minimization for Learning MRFs
Sam Wiseman, Yoon Kim
We propose to learn deep undirected graphical models (i.e., MRFs) with a non-ELBO objective for which we can calculate exact gradients. In particular, we optimize a saddle-point ob…
cs.CL2019★ 5 cited
Unsupervised Recurrent Neural Network Grammars
Yoon Kim, Alexander M. Rush, Lei Yu +3
Recurrent neural network grammars (RNNG) are generative models of language which jointly model syntax and surface structure by incrementally generating a syntax tree and sentence i…