IBM / Neural Information Processing Systems / Barzilay R. / Elhadad M. Using / Patrick Gallinari Computer Science Laboratory / Reuters / John Wiley & Sons / /
Country
Finland / /
Currency
pence / USD / / /
Event
Product Issues / Product Recall / /
Facility
National Institute of Standards and Technology / Computer laboratory / University of Pierre / Patrick Gallinari Computer Science Laboratory of Paris / /
IndustryTerm
trainable systems / search terms / online text resources / semi-supervised algorithms / information research tools / online sources / above algorithm / supervised learning algorithms / generative systems / adaptive signal processing / Similar systems / baseline systems / iterative discriminant algorithm / summarization systems / automatic text summarization systems / supervised algorithms / text processing / semi-supervised algorithm / /
Organization
University of Pierre / American Society for Information Science / National Institute of Standards and Technology / /
Person
Vibu O. Mittal / Yang J. Extracting / Rim Conf / Chen F. A. Trainable / Hart P. T. Pattern / Reza Amini / Marie Curie / /
Position
General / representative / /
Product
target summaries / values / Precision / Sim2 / /
ProvinceOrState
Virginia / Maryland / /
PublishedMedium
Computational Linguistics / /
Technology
above algorithm / 2.4 Algorithms / Classification Expectation Maximization algorithm / logistic and generative CEM algorithms / iterative discriminant algorithm / CEM unsupervised algorithm / semi-supervised algorithms / The algorithm / machine learning / html / three supervised learning algorithms / logistic-CEM algorithm / semi-supervised algorithm / cmp / artificial intelligence / CEM algorithms / classification EM algorithm / /
The Use of Unlabeled Data to Improve Supervised Learning for Text Summarization Massih-Reza Amini and Patrick Gallinari Computer Science Laboratory of Paris 6 (LIP6) University of Pierre and Marie Curie 4, place de jussi