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» Evaluating WordNet Features in Text Classification Models
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NIPS
2008
13 years 10 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell
ACL
1994
13 years 10 months ago
A Corpus-Based Approach to Automatic Compound Extraction
An automatic compound retrieval method is proposed to extract compounds within a text message. It uses n-gram mutual information, relative frequency count and parts of speech as t...
Keh-Yih Su, Ming-Wen Wu, Jing-Shin Chang
W4A
2006
ACM
14 years 2 months ago
Evaluating interfaces for intelligent mobile search
Recent developments in the mobile phone market have led to a significant increase in the number of users accessing the Mobile Internet. Handsets have been improved to support a d...
Karen Church, Barry Smyth, Mark T. Keane
CMS
2010
207views Communications» more  CMS 2010»
13 years 9 months ago
Statistical Detection of Malicious PE-Executables for Fast Offline Analysis
While conventional malware detection approaches increasingly fail, modern heuristic strategies often perform dynamically, which is not possible in many applications due to related ...
Ronny Merkel, Tobias Hoppe, Christian Krätzer...
PRL
2008
147views more  PRL 2008»
13 years 8 months ago
Deformations, patches, and discriminative models for automatic annotation of medical radiographs
In this paper, we describe three different methods for the classification and annotation of medical radiographs. The methods were applied in the medical image annotation tasks of ...
Thomas Deselaers, Hermann Ney