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NIPS
2001
13 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
ACL
2006
13 years 9 months ago
Modeling Human Sentence Processing Data with a Statistical Parts-of-Speech Tagger
It has previously been assumed in the psycholinguistic literature that finite-state models of language are crucially limited in their explanatory power by the locality of the prob...
Jihyun Park
ACL
2006
13 years 9 months ago
A Finite-State Model of Human Sentence Processing
It has previously been assumed in the psycholinguistic literature that finite-state models of language are crucially limited in their explanatory power by the locality of the prob...
Jihyun Park, Chris Brew
MICAI
2004
Springer
14 years 25 days ago
A Biologically Motivated and Computationally Efficient Natural Language Processor
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
João Luís Garcia Rosa
GIS
1998
ACM
13 years 7 months ago
Natural-Language Spatial Relations Between Linear and Areal Objects: The Topology and Metric of English-Language Terms
Spatial relations are the basis for many selections users perform when they query geographic information systems (GISs). Although such query languages use natural-language-like te...
A. Rashid B. M. Shariff, Max J. Egenhofer, David M...