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» Semantic knowledge in word completion
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133
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FCSC
2010
238views more  FCSC 2010»
14 years 10 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
96
Voted
KES
2004
Springer
15 years 5 months ago
Commonsense Reasoning in and Over Natural Language
ConceptNet is a very large semantic network of commonsense knowledge suitable for making various kinds of practical inferences over text. ConceptNet captures a wide range of common...
Hugo Liu, Push Singh
130
Voted
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
16 years 28 days ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
112
Voted
ICIP
2001
IEEE
16 years 2 months ago
Indoor vs outdoor classification of consumer photographs using low-level and semantic features
Scene categorization to indoor vs outdoor may be approached by using low-level features for inferring high-level information about the image. Low-level features such as color and ...
Jiebo Luo, Andreas E. Savakis
94
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CLIMA
2007
15 years 2 months ago
EVOLP: Tranformation-Based Semantics
Over the years, Logic Programming has proved to be a good and natural tool for expressing, querying and manipulating explicit knowledge in many areas of computer science. However, ...
Martin Slota, João Leite