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» Using Maximum Entropy for Automatic Image Annotation
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ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
14 years 1 months ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...
ACL
2009
13 years 4 months ago
Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?
In this paper, we analyze the impact of different automatic annotation methods on the performance of supervised approaches to the complex question answering problem (defined in th...
Yllias Chali, Sadid A. Hasan, Shafiq R. Joty
DAWAK
2006
Springer
13 years 10 months ago
Automatic Image Annotation by Mining the Web
Abstract. Automatic image annotation has been becoming an attractive research subject. Most current image annotation methods are based on training techniques. The major weaknesses ...
Zhiguo Gong, Qian Liu, Jingbai Zhang
NAACL
2003
13 years 8 months ago
Automatic Derivation of Surface Text Patterns for a Maximum Entropy Based Question Answering System
In this paper we investigate the use of surface text patterns for a Maximum Entropy based Question Answering (QA) system. These text patterns are collected automatically in an uns...
Deepak Ravichandran, Abraham Ittycheriah, Salim Ro...
NAACL
2003
13 years 8 months ago
A Maximum Entropy Approach to FrameNet Tagging
The development of FrameNet, a large database of semantically annotated sentences, has primed research into statistical methods for semantic tagging. We advance previous work by a...
Michael Fleischman, Eduard H. Hovy