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» Evolving natural language grammars without supervision
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AGENTS
2000
Springer
13 years 12 months ago
Unsupervised clustering of robot activities: a Bayesian approach
Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 7 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
EMNLP
2004
13 years 9 months ago
Automatic Analysis of Plot for Story Rewriting
A method for automatic plot analysis of narrative texts that uses components of both traditional symbolic analysis of natural language and statistical machine-learning is presente...
Harry Halpin, Johanna D. Moore, Judy Robertson
UML
2001
Springer
13 years 12 months ago
Mapping between Levels in the Metamodel Architecture
The Meta-Modeling Language is a static object-oriented modeling language whose focus is the declarative definition of languages. It aims to enable the UML metamodel to be precisely...
José M. Álvarez, Andy Evans, Paul Sa...
EACL
1989
ACL Anthology
13 years 8 months ago
A logical treatment of semi-free word order and bounded discontinuous constituency
In this paper we present a logical treatment of semifree word order and bounded discontinuous constituency. We extend standard feature value logics to treat word order in a single...
Mike Reape