7 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.CL2015★ 4 cited
Neural CRF Parsing
Greg Durrett, Dan Klein
This paper describes a parsing model that combines the exact dynamic programming of CRF parsing with the rich nonlinear featurization of neural net approaches. Our model is structu…
stat.ML2015★ 7 cited
On the accuracy of self-normalized log-linear models
Jacob Andreas, Maxim Rabinovich, Dan Klein +1
Calculation of the log-normalizer is a major computational obstacle in applications of log-linear models with large output spaces. The problem of fast normalizer computation has th…
cs.LG2012★ 6 cited
Mixture-of-Parents Maximum Entropy Markov Models
David S. Rosenberg, Dan Klein, Ben Taskar
We present the mixture-of-parents maximum entropy Markov model (MoP-MEMM), a class of directed graphical models extending MEMMs. The MoP-MEMM allows tractable incorporation of long…