73 citations · 171 across the 6 of their papers we have counts for
Showing cs.LGShow all
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cs.LG2009★ 49 cited
Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction
Hal Daumé, Daniel Marcu
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., lin…
cs.LG2009★ 48 cited
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior
Hal Daumé, Daniel Marcu
We develop a Bayesian framework for tackling the supervised clustering problem, the generic problem encountered in tasks such as reference matching, coreference resolution, identit…
cs.LG2009★ 73 cited
Search-based Structured Prediction
Hal Daumé, John Langford, Daniel Marcu
We present Searn, an algorithm for integrating search and learning to solve complex structured prediction problems such as those that occur in natural language, speech, computation…