26 citations · 40 across the 3 of their papers we have counts for
3 papers
cs.CL2016★ 11 cited
What Do Recurrent Neural Network Grammars Learn About Syntax?
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong +3
Recurrent neural network grammars (RNNG) are a recently proposed probabilistic generative modeling family for natural language. They show state-of-the-art language modeling and par…
cs.LG2014★ 3 cited
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
Waleed Ammar, Chris Dyer, Noah A. Smith
We introduce a framework for unsupervised learning of structured predictors with overlapping, global features. Each input's latent representation is predicted conditional on the ob…
cs.CL2014★ 26 cited
An Empirical Comparison of Parsing Methods for Stanford Dependencies
Lingpeng Kong, Noah A. Smith
Stanford typed dependencies are a widely desired representation of natural language sentences, but parsing is one of the major computational bottlenecks in text analysis systems. I…