IBM / AT&T / Andrew / Categorial Grammar Centering* Classical MT Classification/Tagging Comp / Beatrice / Special Interest Group / Stanford NLP Group / University Of Chicago Press / Sukhotin B.V. / /
Country
United States / /
Currency
pence / / /
Facility
Stanford University / University of Michigan / /
IndustryTerm
dialogue systems / finite context rule algorithm / web semantic relations domain noun corpus relation nouns / spoken language processing / speech processing / retrieval question information answer term text web / /
NaturalFeature
Statistical MT Classical MT / MT Lex / /
Organization
office of the President / Yale / University of Michigan / Department of Electrical Engineering and Computer Science / Stanford University Stanford / Kenneth Church / University of Chicago / Stanford University / Association of Computational Linguists Anthology / /
Person
Latent Dirichlet / Wei Li / Yookyung Jo / John D. Lafferty / Jerry R. An Improper / Steffen Bickel / Min Improving / Van Eijck / David Blei / Michael Jordan / Carl Lagoze / Peter F. Brown / Mark Steyvers / Stuart M. An / David Mimno / Laura Dietz / Tobias Scheffer / Sharon Goldwater / Mark T. Joseph / Dragomir R. Radev / Gideon S. Mann / Thomas S. Kuhn / Steven L. Word / Eugene Garfield / C. Lee Giles / Bryan Gibson / Kenneth Ward / Tom L. Griffiths / Ralph An / Steven Bird / Christopher D. Manning / Dragomir Radev / / /
Position
determining researcher / Dynamic Topic Model / speaker / model of scientific change / Database Front End Using General / unsupervised topic model / Language Model / Linguist / model / Equipment Model / /
Product
ZTE C88 Cellular Phone / /
ProvinceOrState
New York / Michigan / California / /
PublishedMedium
Computational Linguistics / the Computational Linguistics / Journal of Machine Learning Research / /
Studying the History of Ideas Using Topic Models David Hall Symbolic Systems Stanford University Stanford, CA 94305, USA