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The Mystery of Early Taxonomic Development
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Adding a Capability to Extract Sentiment from Text Using HanDles
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In: DTIC (2012)
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Memory strength effects in fMRI studies: a matter of confidence
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Global similarity accounts of embedded-category designs: Tests of the Global Matching models
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Abstract:
This paper addresses two Global Matching predictions in embedded-category designs: the within-category choice advantage in forced-choice recognition (superior discrimination for test choices comprising a same-category distractor); and the category length effect in forced-choice and old/new recognition (a loss in discriminability with increases in the number of same-category list items). The old-new data is analyzed using a Bayesian approach (. Dennis, Lee, & Kinnell, 2008), which evaluates the evidence for both the null and the alternative hypothesis. Across two experiments, no within-category choice advantage was observed for the associative or the taxonomic categories. A category length effect was observed for the associative categories in forced-choice recognition, but not for the taxonomic categories. Additionally, the Bayesian analysis indicated that only a minority of participants evidenced a category length effect in old/new recognition. Such findings question the theoretical underpinnings of the Global Matching models. Namely, that global similarity drives interference in recognition. © 2010 Elsevier Inc.
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Keyword:
1203 Language and Linguistics; 1702 Artificial Intelligence; 3205 Experimental and Cognitive Psychology; 3206 Neuropsychology and Physiological Psychology; 3310 Linguistics and Language; Category length; False memory; Global Matching; Hypothesis testing
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URL: https://espace.library.uq.edu.au/view/UQ:215240
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The Use of a Context-Based Information Retrieval Technique
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In: DTIC (2009)
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A Comparison of Statistical Models for the Extraction of Lexical Information from Text Corpor
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In: Dennis, Simon. (2003). A Comparison of Statistical Models for the Extraction of Lexical Information from Text Corpor. Proceedings of the Cognitive Science Society, 25(25). Retrieved from: http://www.escholarship.org/uc/item/8hc2g9cd (2003)
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A comparison of statistical models for the extraction of lexical information from text corpora
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In: http://www.cogsci.rpi.edu/CSJarchive/Proceedings/2003/pdfs/79.pdf (2003)
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Input-driven language learning
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In: http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=111251&fulltextType=RA&fileId=S0272263102002103 (2002)
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Toward a theory of human memory: Data structures and access processes
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