Connectionist Semantic Systematicity

Autor/inn/en	Frank, Stefan L.; Haselager, Willem F. G.; van Rooij, Iris
Titel	Connectionist Semantic Systematicity
Quelle	In: Cognition, 110 (2009) 3, S.358-379 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0010-0277
DOI	10.1016/j.cognition.2008.11.013
Schlagwörter	Sentences; Semantics; Comprehension; Language Processing; Models; Knowledge Representation; Cognitive Science + Suchen Sie Ihr Suchwort? Sentence analysis; Satzanalyse; Semantik; Verstehen; Verständnis; Sprachverarbeitung; Analogiemodell; Wissensrepräsentation; Kognitionswissenschaft
Abstract	Fodor and Pylyshyn [Fodor, J. A., & Pylyshyn, Z. W. (1988). Connectionism and cognitive architecture: A critical analysis. "Cognition," 28, 3-71] argue that connectionist models are not able to display systematicity other than by implementing a classical symbol system. This claim entails that connectionism cannot compete with the classical approach as an alternative architectural framework for human cognition. We present a connectionist model of sentence comprehension that does not implement a symbol system yet behaves systematically. It consists in a recurrent neural network that maps sentences describing situations in a microworld, onto representations of these situations. After being trained on particular sentence-situation pairs, the model can comprehend new sentences, even if these describe new situations. We argue that this systematicity arises robustly and in a psychologically plausible manner because it depends on structure inherent in the world. (Contains 15 tables and 6 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10