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SEMWEB
2005
Springer
15 years 9 months ago
Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Peter Haase, Johanna Völker
COLING
1994
15 years 5 months ago
A Grammar And A Parser For Spontaneous Speech
This paper classifies distinctive phenomena occurring in Japanese spontaneous speech, and proposes a grammar and processing techniques for handling them. Parsers using a grammar f...
Mikio Nakano, Akira Shimazu, Kiyoshi Kogure
154
Voted
ICASSP
2010
IEEE
15 years 4 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
AAI
2000
122views more  AAI 2000»
15 years 3 months ago
High-Level Interpretation in Virtual Environments
: As Virtual Environments applications become more complex, there is a need to interpret user interaction in terms of high-level concepts. In this paper, we investigate the relatio...
Marc Cavazza, Ian Palmer
COGSCI
2007
109views more  COGSCI 2007»
15 years 4 months ago
Understanding the Emergence of Modularity in Neural Systems
: Modularity in the human brain remains a controversial issue, with disagreement over the nature of the modules that exist, and why, when and how they emerge. It is a natural assum...
John A. Bullinaria