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134
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MM
2004
ACM
124views Multimedia» more  MM 2004»
15 years 10 months ago
An online-optimized incremental learning framework for video semantic classification
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
Jun Wu, Xian-Sheng Hua, HongJiang Zhang, Bo Zhang
COLING
2008
15 years 6 months ago
Modeling Semantic Containment and Exclusion in Natural Language Inference
We propose an approach to natural language inference based on a model of natural logic, which identifies valid inferences by their lexical and syntactic features, without full sem...
Bill MacCartney, Christopher D. Manning
146
Voted
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 6 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
137
Voted
WWW
2006
ACM
16 years 5 months ago
Learning and inferencing in user ontology for personalized semantic web services
Domain ontology has been used in many Semantic Web applications. However, few applications explore the use of ontology for personalized services. This paper proposes an ontology b...
Xing Jiang, Ah-Hwee Tan
EMNLP
2007
15 years 6 months ago
Lexical Semantic Relatedness with Random Graph Walks
Many systems for tasks such as question answering, multi-document summarization, and information retrieval need robust numerical measures of lexical relatedness. Standard thesauru...
Thad Hughes, Daniel Ramage