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IJCAI
2003
14 years 11 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
ALT
2003
Springer
15 years 1 months ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
AIEDAM
2007
191views more  AIEDAM 2007»
14 years 9 months ago
Ontology-based design information extraction and retrieval
Because of the increasing complexity of products and the design process, as well as the popularity of computer-aided documentation tools, the number of electronic and textual desi...
Zhanjun Li, Karthik Ramani
CICLING
2010
Springer
15 years 4 months ago
Computational Models of Language Acquisition
Abstract. Child language acquisition, one of Nature’s most fascinating phenomena, is to a large extent still a puzzle. Experimental evidence seems to support the view that early ...
Shuly Wintner
COGSCI
2010
87views more  COGSCI 2010»
14 years 8 months ago
The Logical Problem of Language Acquisition: A Probabilistic Perspective
Natural language is full of patterns that appear to fit with general linguistic rules but are ungrammatical. There has been much debate over how children acquire these ‘‘ling...
Anne S. Hsu, Nick Chater