61 citations · 124 across the 3 of their papers we have counts for
3 papers
cs.IR2014★ 44 cited
Content Modeling Using Latent Permutations
Harr Chen, S. R. K. Branavan, Regina Barzilay +1
We present a novel Bayesian topic model for learning discourse-level document structure. Our model leverages insights from discourse theory to constrain latent topic assignments in…
cs.CL2014★ 61 cited
Learning Document-Level Semantic Properties from Free-Text Annotations
S. R. K. Branavan, Harr Chen, Jacob Eisenstein +1
This paper presents a new method for inferring the semantic properties of documents by leveraging free-text keyphrase annotations. Such annotations are becoming increasingly abunda…
cs.LG2012★ 19 cited
Dirichlet Process Mixtures of Generalized Mallows Models
Marina Meila, Harr Chen
We present a Dirichlet process mixture model over discrete incomplete rankings and study two Gibbs sampling inference techniques for estimating posterior clusterings. The first app…