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NIPS
2001
15 years 8 months ago
A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing
Narayanan and Jurafsky (1998) proposed that human language comprehension can be modeled by treating human comprehenders as Bayesian reasoners, and modeling the comprehension proce...
S. Narayanan, Daniel Jurafsky
ENTCS
2006
133views more  ENTCS 2006»
15 years 7 months ago
A Data Model for Data Integration
Data integration systems provide a uniform query interface (UQI) to multiple, autonomous data sources [4]. This paper presents the universal data model (UDM) that captures the sem...
James J. Lu
MODELS
2010
Springer
15 years 5 months ago
Capturing the Intention of Model Changes
Abstract. Model differences calculated by differencing algorithms contain the atomic changes made to a model. However, they do not capture the user’s intention of the modifica...
Patrick Könemann
ACL
2010
15 years 5 months ago
The Influence of Discourse on Syntax: A Psycholinguistic Model of Sentence Processing
Probabilistic models of sentence comprehension are increasingly relevant to questions concerning human language processing. However, such models are often limited to syntactic fac...
Amit Dubey
UML
2005
Springer
16 years 11 days ago
Ontology-Based Model Transformation
Today, model-driven development is getting more sophisticated and can be used for modeling enterprises and developing application systems. Since current interoperability solutions ...
Stephan Roser, Bernhard Bauer