Department of Psychology, McGill University.
Can J Exp Psychol. 2024 Sep;78(3):163-173. doi: 10.1037/cep0000344.
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. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
认知的经验理论提出，外部环境塑造认知加工，将重点从内部机制转移到对环境结构的学习上。计算建模，特别是词汇语义的分布模型（例如，Landauer & Dumais，1997）和词汇组织模型（例如，Johns，2021a），体现了这一点，强调了语言经验对认知表现的影响。虽然这些模型已经取得了成功，但相对较少关注用于训练这些模型的训练材料。最近的研究探讨了社交/交际导向的训练材料对词汇语义和组织模型的作用（Johns，2021a、2021b、2023、2024），引入了以语篇和用户为中心的文本训练材料。然而，确定这两种模型类型的最佳训练材料仍然是一个悬而未决的问题。本文通过使用经验优化（Johns、Jones 和 Mewhort，2019）来解决这个问题，该方法选择了最大限度提高模型性能的材料。本研究将使用经验优化来比较基于用户和基于语篇的语料库在优化词汇组织和语义模型方面的效果，为在这些领域整合认知模型提供了思路。（PsycInfo 数据库记录（c）2024 APA，保留所有权利）。
