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COLING
1996
13 years 8 months ago
Computational Complexity of Probabilistic Disambiguation by means of Tree-Grammars
This paper studies the computational complexity of disambiguation under probabilistic tree-grammars as in (Bod, 1992; Schabes and Waters, 1993). It presents a proof that the follo...
Khalil Sima'an
CVPR
1998
IEEE
14 years 8 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov
LATA
2010
Springer
14 years 1 months ago
Extending Stochastic Context-Free Grammars for an Application in Bioinformatics
We extend stochastic context-free grammars such that the probability of applying a production can depend on the length of the subword that is generated from the application and sho...
Frank Weinberg, Markus E. Nebel
EMNLP
2009
13 years 4 months ago
A Joint Language Model With Fine-grain Syntactic Tags
We present a scalable joint language model designed to utilize fine-grain syntactic tags. We discuss challenges such a design faces and describe our solutions that scale well to l...
Denis Filimonov, Mary P. Harper
FLAIRS
2007
13 years 9 months ago
Document Semantic Annotation for Intelligent Tutoring Systems: A Concept Mapping Approach
The difficulty of domain knowledge acquisition is one of the most sensible challenges of intelligent tutoring systems. Relying on domain experts and building domain models from sc...
Amal Zouaq, Roger Nkambou, Claude Frasson