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146
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ACL
2010
15 years 4 months ago
Distributional Similarity vs. PU Learning for Entity Set Expansion
Distributional similarity is a classic technique for entity set expansion, where the system is given a set of seed entities of a particular class, and is asked to expand the set u...
Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng
121
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COGSCI
2011
31views more  COGSCI 2011»
15 years 1 months ago
Looking in the Wrong Direction Correlates With More Accurate Word Learning
Previous research on lexical development has aimed to identify the factors that enable accurate initial word-referent mappings based on the assumption that the accuracy of initial...
Stanka A. Fitneva, Morten H. Christiansen
COGSCI
2011
43views more  COGSCI 2011»
15 years 1 months ago
Japanese Sound-Symbolism Facilitates Word Learning in English-Speaking Children
Sound symbolism is the non-arbitrary link between the sound of a word and its meaning. Imai et al. (2008) showed that Japanese speaking children benefited from the presence of sou...
Katerina Kantartzis, Mutsumi Imai, Sotaro Kita
ICML
2007
IEEE
16 years 7 months ago
Piecewise pseudolikelihood for efficient training of conditional random fields
Discriminative training of graphical models can be expensive if the variables have large cardinality, even if the graphical structure is tractable. In such cases, pseudolikelihood...
Charles A. Sutton, Andrew McCallum
CVPR
2007
IEEE
16 years 8 months ago
Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition
Outdoor face recognition is among the most challenging problems for face recognition. In this paper, we develop a discriminant mutual subspace learning algorithm for indoor and ou...
Zhifeng Li, Dahua Lin, Helen M. Meng, Xiaoou Tang