Ann Arbor / New York / Cambridge / Mountain View / /
Company
A. Genkin D. D. / Neural Networks / ILM / MIT Press / Unigram ILM Bigram GEN / Enron / ACM Press / Springer-Verlag New York Inc. / SPAM / TP T / Advances / MessageLabs / /
Country
United States / / /
Event
Product Issues / Product Recall / /
IndustryTerm
hill-climbing algorithm / approximation algorithm / data mining / internet urls / /
Movie
Test / /
Organization
MIT / idf / University of Cambridge Millennium Scholarship / New Corpus Ben Medlock Cambridge University Computer Laboratory / Association for Computational Linguistics / /
Person
Mark Gales / C. Burges / Thomas Hain / G. Paliouras / V / Ted Briscoe / /
Position
editor / author / Semi-Structured Language Model Approach / representative / Bayesian network model for semi-structured document classification / /
Product
Unigram ILM Bigram MNB SVM BLR ILM Unigram ILM Bigram GEN / threshold / values / improvement / 0.6 0.7 0.7 0.8 0.8 0.9 0.9 1.0 1.0 Adaptive Component Weight Figure / 0.91 0.9 1 0.99 0.98 0.97 0.96 0.95 GEN / Accuracy / /
ProgrammingLanguage
XML / /
ProvinceOrState
New Brunswick / New York / Michigan / Massachusetts / /