Determining the optimal environmental information for training computational models of lexical semantics and lexical organization.

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Publication Details

Journal
Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale
Published
2024-08-29
DOI
https://doi.org/10.1037/cep0000344
Citations
1
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.49
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article

Determining the optimal environmental information for training computational models of lexical semantics and lexical organization.

Brendan T. Johns
1 citations
Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale
Multi-Criteria Decision Making
0.49
article

Determining the optimal environmental information for training computational models of lexical semantics and lexical organization.

Brendan T. Johns
article en
1 citations

Abstract

No abstract available for this paper.
Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentaleVol. 78(3)
McGill University (CA)
Openalex Percentile: Top 32%
Multi-Criteria Decision Making
0.49
DOISourceOpenAlex
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Determining the optimal environmental information for training computational models of lexical semantics and lexical organization. — Brendan T. Johns · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale (2024) | TGRS Research Map | TGRS