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» A Hybrid Approach to Adaptive Statistical Language Modeling
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ACL
1996
13 years 9 months ago
A Fully Statistical Approach to Natural Language Interfaces
We present a natural language interface system which is based entirely on trained statistical models. The system consists of three stages of processing: parsing, semantic interpre...
Scott Miller, David Stallard, Robert J. Bobrow, Ri...
DFG
2004
Springer
14 years 1 months ago
Executable HybridUML and Its Application to Train Control Systems
Abstract. In this paper, the authors introduce an extension of UML for the purpose of hybrid systems modeling. The construction uses the profile mechanism of UML 2.0 which is the ...
Kirsten Berkenkötter, Stefan Bisanz, Ulrich H...
COLING
2008
13 years 9 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
CLEF
2011
Springer
12 years 7 months ago
Adapting Statistical Language Identification Methods for Short Queries
This paper describes the participation of UAIC team at the LogCLEF 2011 initiative, language identification task. Our approach is an aggregation of known methods for recognizing la...
Alexandru-Lucian Gînsca, Emanuela Boros, Adr...
TMI
2002
248views more  TMI 2002»
13 years 7 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson