526 citations · 3.2k across the 129 of their papers we have counts for
4 papers · 1 filter
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…
The Utility of Text: The Case of Amicus Briefs and the Supreme Court
Yanchuan Sim, Bryan Routledge, Noah A. Smith
We explore the idea that authoring a piece of text is an act of maximizing one's expected utility. To make this idea concrete, we consider the societally important decisions of the…
Learning Word Representations with Hierarchical Sparse Coding
Dani Yogatama, Manaal Faruqui, Chris Dyer +1
We propose a new method for learning word representations using hierarchical regularization in sparse coding inspired by the linguistic study of word meanings. We show an efficient…
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…