Oxford University Press / Draper / Penn English Treebank / Wall Street Journal / MIT Press / Air Force Research Laboratory / Oracle / Penn Treebank / Fannie / Hertz / Della Pietra S. A. / Christopher D. Manning / Hiyan Alshawi Google Inc. / / /
Facility
Brown University / Air Force Research Laboratory / Viterbi Training Improves Unsupervised Dependency Parsing Valentin I. Spitkovsky Computer Science Department Stanford University / Computer Science Stanford University / University of Pennsylvania / /
IndustryTerm
sentence processing / Search-based algorithms / to hang on to supervised solutions / supervised maximum-likelihood solution / recent state-of-the-art systems / inside-outside solution / /
Organization
Viterbi Training Improves Unsupervised Dependency Parsing Valentin I. Spitkovsky Computer Science Department / National Science Foundation / Brown University / University of Pennsylvania / MIT / Stanford University / Acoustical Society of America / Oxford University / Royal Society / /
Person
Daniel Jurafsky / D. McClosky / Rational Models / E. Charniak / W. P. Headden / III / P. F. Brown / V / M. Johnson / John Wiley / Angel X. Chang / Computational Linguistics / Valentin I. Spitkovsky / / /
Position
model / skip-head / first author / straight-forward / representative / head / head of class / /
Product
Viterbi / Viterbi EM / C-0181 / /
ProgrammingLanguage
Hoc / /
ProvinceOrState
Pennsylvania / Indiana / California / /
PublishedMedium
the Wall Street Journal / Machine Learning / Journal of Machine Learning Research / Wall Street Journal / /
Viterbi Training Improves Unsupervised Dependency Parsing Valentin I. Spitkovsky Computer Science Department Stanford University and Google Inc.