SNA Projects Blog : Tech Talk: Michael Deerkoski (Flickr) — “Continuous Deployment at Flickrâ€
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Average-Class-plot_diff-seeds.eps
Using Structured Text for Large-Scale Attribute Extraction Sujith Ravi ∗ University of Southern California Information Sciences Institute Marina del Rey, California 90292 [email protected] Marius Pa¸sca Google Inc. 1600 Amphitheatre Parkway Mountain View, California 94043 mars@google.com ABSTRACT We propose a weakly-supervised approach for extracting class attributes from structured text available wi
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App Isolation: Get the Security of Multiple Browsers with Just One
Tenzing A SQL Implementation On The MapReduce Framework
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
Google at CHI 2011
More Google Contributions to the Broader Scientific Community
Lightly Supervised Learning of Text Normalization: Russian Number Names Abstract Most areas of natural language pro- cessing today make heavy use of au- tomatic inference from large corpora. One exception is text-normalization for such applications as te
ACL Anthology
Infoscience - EPFL Institutional Repository lucky-search
Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis Kevin Lerman Dept. of Computer Science Columbia University New York, NY USA 
WWW2008
Publications – Google Research
Hidden Topic Markov Models (HTMM)　aistats07.pdf (application/pdf オブジェクト)
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