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ACL
2012
11 years 10 months ago
Improving Word Representations via Global Context and Multiple Word Prototypes
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
13 years 9 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
SACMAT
2003
ACM
14 years 23 days ago
An access control model for dynamic client-side content
The focus of access control in client/server environments is on protecting sensitive server resources by determining whether or not a client is authorized to access those resource...
Adam Hess, Kent E. Seamons
MOBISYS
2007
ACM
14 years 7 months ago
SmartSiren: virus detection and alert for smartphones
Smartphones have recently become increasingly popular because they provide "all-in-one" convenience by integrating traditional mobile phones with handheld computing devi...
Jerry Cheng, Starsky H. Y. Wong, Hao Yang, Songwu ...
NLPRS
2001
Springer
13 years 12 months ago
Vietnamese Word Segmentation
Word segmentation is the first and obligatory task for every NLP. For inflectional languages like English, French, Dutch,.. their word boundaries are simply assumed to be whitespa...
Dinh Dien, Hoang Kiem, Nguyen Van Toan