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ICTAI
2007
IEEE
14 years 2 months ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
SIMUTOOLS
2008
13 years 9 months ago
MARTE: a profile for RT/E systems modeling, analysis--and simulation?
As its name promises, the Unified Modeling Language (UML) provides a collection of diagrammatic modeling styles. To the early class/objects and use-case diagrams were almost immed...
Frédéric Mallet, Robert de Simone
LICS
2009
IEEE
14 years 2 months ago
Clipping: A Semantics-Directed Syntactic Approximation
In this paper we introduce “clipping,” a new method of syntactic approximation which is motivated by and works in conjunction with a sound and decidable denotational model for...
Dan R. Ghica, Adam Bakewell
SIGIR
2005
ACM
14 years 1 months ago
Integrating word relationships into language models
In this paper, we propose a novel dependency language modeling approach for information retrieval. The approach extends the existing language modeling approach by relaxing the ind...
Guihong Cao, Jian-Yun Nie, Jing Bai
NN
2008
Springer
129views Neural Networks» more  NN 2008»
13 years 7 months ago
Neurolinguistic approach to natural language processing with applications to medical text analysis
Brain processes responsible for understanding language are approximated by spreading activation in semantic networks, providing enhanced representations that involve concepts not ...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian