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EMNLP
2009
13 years 5 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
FDL
2006
IEEE
14 years 1 months ago
MCF: A Metamodeling-based Visual Component Composition Framework
Reusing IP-cores to construct system models facilitated by automated generation of glue-logic, and automated composability checks can help designers to create efficient simulation...
Deepak Mathaikutty, Sandeep K. Shukla
IS
2006
13 years 7 months ago
Composition of Semantic Web services using Linear Logic theorem proving
This paper introduces a method for automatic composition of Semantic Web services using Linear Logic (LL) theorem proving. The method uses a Semantic Web service language (DAML-S)...
Jinghai Rao, Peep Küngas, Mihhail Matskin
ASSETS
2005
ACM
13 years 9 months ago
Semantic knowledge in word completion
We propose an integrated approach to interactive word-completion for users with linguistic disabilities in which semantic knowledge combines with n-gram probabilities to predict s...
Jianhua Li, Graeme Hirst
JASIS
2000
120views more  JASIS 2000»
13 years 7 months ago
Probabilistic datalog: Implementing logical information retrieval for advanced applications
In the logical approach to information retrieval (IR), retrieval is considered as uncertain inference. Whereas classical IR models are based on propositional logic, we combine Dat...
Norbert Fuhr