Strong systematicity in sentence processing by simple recurrent networks Phil´emon Brakel () Stefan L. Frank () Institute for Logic, Language, and Computation, University of Amsterdam Sci

First Page		Document Content
Date: 2012-03-11 05:05:11 Computational neuroscience Cognitive science Artificial neural networks Cognition Cybernetics Markov models Statistical natural language processing Recurrent neural network Language model Connectionism Convolutional neural network Transformational grammar		Strong systematicity in sentence processing by simple recurrent networks Phil´emon Brakel () Stefan L. Frank () Institute for Logic, Language, and Computation, University of Amsterdam Sci Add to Reading List Source URL: www.stefanfrank.info Download Document from Source Website File Size: 195,21 KB Share Document on Facebook

	Discontinuous Statistical Machine Translation with Target-Side Dependency Syntax Nina Seemann and Andreas Maletti Institute for Natural Language Processing, Universit¨at Stuttgart Pfaffenwaldring 5b, 70569 Stuttgart, Ge DocID: 1t3Of - View Document
	Statistical Learning of Nonadjacencies Predicts On-line Processing of Long-Distance Dependencies in Natural Language Jennifer B. Misyak () and Morten H. Christiansen () Department DocID: 1rHbG - View Document
	Automatic adaptation of Proper Noun Dictionaries through cooperation of machine learning and probabilistic methods Georgios Petasis, Alessandro Cucchiarelli(*),Paola Velardi(§), Georgios Paliouras, Vangelis Karkaletsis, DocID: 1rsvb - View Document
	CROSS TASK STUDY ON MIREX RECENT RESULTS: AN INDEX FOR EVOLUTION MEASUREMENT AND SOME STAGNATION HYPOTHESES Ricardo Scholz Geber Ramalho DocID: 1rrGf - View Document
	Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains Abstract We investigate the use of Semi-Supervised Learning (SSL) in opinion detection both in DocID: 1rr6b - View Document