Add to ORKGContains fulltext : 213724.pdf (publisher's version ) (Open Access)The 41st Annual Conference of the Cognitive Science Society (CogSci 2019), 24 juli 201
In this didactic and information-packed article by Friederici and Singer (2015), entitled Grounding ...
Slides for a talk at the Exeter Dynamics seminar 2019-02-18 Abstact: How the human cognitive system...
Two classes of recurrent neural network models are compared in this report, simple recurrent network...
This article was published in JOURNAL OF COMPUTERS [© 2010 ACADEMY PUBLISHER] and the definite vers...
Recurrent neural networks (RNNs) have long been an architecture of interest for computational models...
Recursive processing in sentence comprehension is considered a hallmark of human linguistic abiliti...
We consider the task of training a neural network to classify natural language sentences as grammati...
A novel connectionist architecture of artificial neural networks is presented to model the assignmen...
Contains fulltext : 235107.pdf (Publisher’s version ) (Open Access)Workshop on Cog...
Convolutional Neural Networks (CNNs) and pre-trained word embeddings have revolutionized the field o...
International audienceFrom decision making to perception to language, predicting what is coming next...
As potential candidates for explaining human cognition, connectionist models of sentence processing ...
Neural machine translation is a relatively new approach to statistical machine trans-lation based pu...
We present a targeted, scaled-up comparison of incremental processing in humans and neural language ...
International audienceSentence processing takes place in real-time. Previous words in the sentence c...
In this didactic and information-packed article by Friederici and Singer (2015), entitled Grounding ...
Slides for a talk at the Exeter Dynamics seminar 2019-02-18 Abstact: How the human cognitive system...
Two classes of recurrent neural network models are compared in this report, simple recurrent network...
This article was published in JOURNAL OF COMPUTERS [© 2010 ACADEMY PUBLISHER] and the definite vers...
Recurrent neural networks (RNNs) have long been an architecture of interest for computational models...
Recursive processing in sentence comprehension is considered a hallmark of human linguistic abiliti...
We consider the task of training a neural network to classify natural language sentences as grammati...
A novel connectionist architecture of artificial neural networks is presented to model the assignmen...
Contains fulltext : 235107.pdf (Publisher’s version ) (Open Access)Workshop on Cog...
Convolutional Neural Networks (CNNs) and pre-trained word embeddings have revolutionized the field o...
International audienceFrom decision making to perception to language, predicting what is coming next...
As potential candidates for explaining human cognition, connectionist models of sentence processing ...
Neural machine translation is a relatively new approach to statistical machine trans-lation based pu...
We present a targeted, scaled-up comparison of incremental processing in humans and neural language ...
International audienceSentence processing takes place in real-time. Previous words in the sentence c...
In this didactic and information-packed article by Friederici and Singer (2015), entitled Grounding ...
Slides for a talk at the Exeter Dynamics seminar 2019-02-18 Abstact: How the human cognitive system...
Two classes of recurrent neural network models are compared in this report, simple recurrent network...