Probabilistic language models in cognitive neuroscience. Promises and pitfalls
- Armeni, K.
- Willems, R.M.
- Frank, S.L.
DOIAbstract
Contains fulltext : 178583pre.pdf (preprint version ) (Open Access)05 september 201710 p
Contains fulltext : 178583pre.pdf (preprint version ) (Open Access)05 september 201710 p
Human thought is remarkably flexible: we can think about infinitely many different situations despit...
This paper introduces a psycholinguistic model of sentence processing which combines a Hidden Markov...
Probabilistic Comprehension and Modeling is one of the newest areas in information extraction, text ...
Cognitive neuroscientists of language comprehension study how neural computations relate to cognitiv...
International audienceWords of Estimative Probability (WEP) are phrases used to express the plausibi...
The use of language is one of the defining features of human cognition. Focusing here on two key fea...
Contains fulltext : 173550.pdf (publisher's version ) (Open Access)Language compre...
Item does not contain fulltextThis chapter provides an introduction to Bayesian models and their app...
Building models of language is a central task in natural language processing. Traditionally, languag...
Cognitive science aims to reverse-engineer the mind, and many of the engineering challenges the mind...
Cognitive science aims to reverse-engineer the mind, and many of the engineering challenges the mind...
Probabilistic methods are providing new explanatory approaches to fundamental cognitive science ques...
Language comprehension involves the simultaneous processing of information at the phonological, synt...
Within psychology, neuroscience and artificial intelligence, there has been increasing interest in t...
There is strong behavioral and physiological evidence that the brain both represents probability dis...
Human thought is remarkably flexible: we can think about infinitely many different situations despit...
This paper introduces a psycholinguistic model of sentence processing which combines a Hidden Markov...
Probabilistic Comprehension and Modeling is one of the newest areas in information extraction, text ...
Cognitive neuroscientists of language comprehension study how neural computations relate to cognitiv...
International audienceWords of Estimative Probability (WEP) are phrases used to express the plausibi...
The use of language is one of the defining features of human cognition. Focusing here on two key fea...
Contains fulltext : 173550.pdf (publisher's version ) (Open Access)Language compre...
Item does not contain fulltextThis chapter provides an introduction to Bayesian models and their app...
Building models of language is a central task in natural language processing. Traditionally, languag...
Cognitive science aims to reverse-engineer the mind, and many of the engineering challenges the mind...
Cognitive science aims to reverse-engineer the mind, and many of the engineering challenges the mind...
Probabilistic methods are providing new explanatory approaches to fundamental cognitive science ques...
Language comprehension involves the simultaneous processing of information at the phonological, synt...
Within psychology, neuroscience and artificial intelligence, there has been increasing interest in t...
There is strong behavioral and physiological evidence that the brain both represents probability dis...
Human thought is remarkably flexible: we can think about infinitely many different situations despit...
This paper introduces a psycholinguistic model of sentence processing which combines a Hidden Markov...
Probabilistic Comprehension and Modeling is one of the newest areas in information extraction, text ...
Add to ORKG