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» Evaluating machine learning for information extraction
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WWW
2004
ACM
16 years 5 months ago
Web image learning for searching semantic concepts in image databases
Without textual descriptions or label information of images, searching semantic concepts in image databases is still a very challenging task. While automatic annotation techniques...
Chu-Hong Hoi, Michael R. Lyu
IEEECIT
2007
IEEE
15 years 11 months ago
An Experimental Study on Feature Subset Selection Methods
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...
Chulmin Yun, Donghyuk Shin, Hyunsung Jo, Jihoon Ya...
ACL
2006
15 years 6 months ago
Learning to Predict Case Markers in Japanese
Japanese case markers, which indicate the grammatical relation of the complement NP to the predicate, often pose challenges to the generation of Japanese text, be it done by a for...
Hisami Suzuki, Kristina Toutanova
IJCNN
2008
IEEE
15 years 11 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
LREC
2008
154views Education» more  LREC 2008»
15 years 6 months ago
A Comparative Evaluation of Term Recognition Algorithms
Automatic Term recognition (ATR) is a fundamental processing step preceding more complex tasks such as semantic search and ontology learning. From a large number of methodologies ...
Ziqi Zhang, José Iria, Christopher Brewster...