نتایج جستجو برای: abraham ungar
تعداد نتایج: 2794 فیلتر نتایج به سال:
NeurRecently, there has been substantial interest in using large amounts of unlabeled data to learn word representations which can then be used as features in supervised classifiers for NLP tasks. However, most current approaches are slow to train, do not model the context of the word, and lack theoretical grounding. In this paper, we present a new learning method, Low Rank Multi-View Learning ...
Dean Fulgoni, Jordan Carpenter, Lyle Ungar, Daniel Preoţiuc-Pietro Computer and Information Science, 3330 Walnut St.,Philadelphia, PA 19104 Positive Psychology Center, 3701 Market St., Philadelphia, PA 19104 University of Pennsylvania [email protected], [email protected], [email protected], [email protected] Abstract News sources frame issues in different ways in order to appeal...
We identified features that drive differential accuracy in word sense disambiguation (WSD) by building regression models using 10,000 coarse-grained WSD instances which were labeled on Mturk. Features predictive of accuracy include properties of the target word (word frequency, part of speech, and number of possible senses), the example context (length), and the Turker’s engagement with our tas...
Dr. D. A. R. Barkhouse , Dr. R. Debnath , I. J. Kramer , D. Zhitomirsky , Dr. A. G. Pattantyus-Abraham , Dr. L. Levina , Prof. E. H. Sargent Department of Electrical and Computer Engineering University of Toronto 10 King’s College Road, Toronto, Ontario M5S 3G4, Canada E-mail: [email protected] Dr. D. A. R. Barkhouse IBM Thomas J. Watson Research Center Kitchawan Road, Yorktown Heights, N...
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