Determining the Optimal Environmental Information for Training Computational Models of Lexical Semantics and Lexical Organization.
Experiential theories of cognition propose that the external environment shapes cognitive processing, shifting emphasis from internal mechanisms to the learning of environmental structure. Computational modelling, particularly distributional models of lexical semantics (e.g., Landauer & Dumais, 1997...
| Published in: | Canadian Journal of Experimental Psychology / Revue Canadienne de Psychologie Expérimentale Vol. 78; no. 3; pp. 163 - 174 |
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| Format: | Article |
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Canadian Psychological Association
Sep2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=179244629&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 179244629 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 11961961 CJX jtl: Canadian Journal of Experimental Psychology / Revue Canadienne de Psychologie Expérimentale issn: 11961961 maglogo: N pubinfo: dt: Sep2024 vid: 78 iid: 3 pid: 98 pub: Canadian Psychological Association artinfo: ui: 179244629 10.1037/cep0000344 ppf: 163 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: Determining the Optimal Environmental Information for Training Computational Models of Lexical Semantics and Lexical Organization. aug: au: Johns, Brendan T. affil: Department of Psychology, McGill University su: Computer simulation Ecology Information science Semantics Vocabulary Cognition Experiential learning Medical informatics Data mining Phonological awareness Data analytics Natural language processing Descriptive statistics Mathematical models Machine learning Theory Learning strategies Comparative studies sug: subj: Computer simulation Ecology Information science Semantics Vocabulary Cognition Experiential learning Medical informatics Data mining Phonological awareness Data analytics Natural language processing Descriptive statistics Mathematical models Machine learning Theory Learning strategies Comparative studies keyword: apprentissage automatique big data computational modeling lexical organization lexical semantics mégadonnées machine learning modélisation computationnelle organisation lexicale sémantique lexicale apprentissage automatique mégadonnées modélisation computationnelle organisation lexicale sémantique lexicale apprentissage automatique big data computational modeling lexical organization lexical semantics mégadonnées machine learning modélisation computationnelle organisation lexicale sémantique lexicale apprentissage automatique mégadonnées modélisation computationnelle organisation lexicale sémantique lexicale ab: Experiential theories of cognition propose that the external environment shapes cognitive processing, shifting emphasis from internal mechanisms to the learning of environmental structure. Computational modelling, particularly distributional models of lexical semantics (e.g., Landauer & Dumais, 1997) and models of lexical organization (e.g., Johns, 2021a), exemplifies this, highlights the influence of language experience on cognitive representations. While these models have been successful, comparatively less attention has been paid to the training materials used to train these models. Recent research has explored the role of social/communicatively oriented training materials on models of lexical semantics and organization (Johns, 2021a, 2021b, 2023, 2024), introducing discourse- and user-centred text training materials. However, determining the optimal training materials for these two model types remains an open question. This article addresses this problem by using experiential optimization (Johns, Jones, & Mewhort, 2019), which selects the materials that maximize model performance. This study will use experiential optimization to compare user-based and discourse-based corpora in optimizing models of lexical organization and semantics, offering insight into pathways towards integrating cognitive models in these areas. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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