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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Word Probability Re-Estimation Using Topic Modeling and Lexical Decision Data ... 43rd Annual Meeting of the Cognitive Science Society 2021; Keuleers, Emmanuel. - : Underline Science Inc., 2021 BASE Show details 2 Word Probability Re-Estimation Using Topic Modeling and Lexical Decision Data ... 43rd Annual Meeting of the Cognitive Science Society 2021; Keuleers, Emmanuel. - : Underline Science Inc., 2021 BASE Show details 3 Modelling Human Communication as a Rejection Game ... 43rd Annual Meeting of the Cognitive Science Society 2021; Capari, Artemis; Sbardolini, Giorgio. - : Underline Science Inc., 2021 BASE Show details 4 Grounding Word Learning Across Situations ... 43rd Annual Meeting of the Cognitive Science Society 2021; Beser, Deniz; Cecil, Joe. - : Underline Science Inc., 2021 BASE Show details 5 Sensorimotor similarity: A fully grounded and efficient measure of semantic similarity ... 43rd Annual Meeting of the Cognitive Science Society 2021; Connell, Louise; Wingfield, Cai. - : Underline Science Inc., 2021 Abstract: Experimental design and computational modelling across the cognitive sciences often rely on measures of semantic similarity between words/concepts. Traditional measures of semantic similarity typically rely on corpus-derived linguistic distributional similarity (e.g. LSA) or distance in taxonomic databases (e.g. WordNet), which are theoretically problematic in their lack of grounding in sensorimotor experience. We present a new measure of sensorimotor similarity between concepts, based on multidimensional comparisons of their experiential strength across 11 perceptual and action-effector dimensions in the Lancaster Sensorimotor norms. We demonstrate that, in modelling human similarity and relatedness judgements, sensorimotor similarity has comparable explanatory power to LSA and WordNet distance, explains variance in human judgements which is missed by other measures, and does so with the advantages of remaining both fully grounded and computationally efficient. We further introduce a web-based tool for ... Keyword: Applied Linguistics; Cognitive Linguistics; Cognitive Science; Computational Intelligence; Computational Linguistics; Pragmatics; Psycholinguistics URL: https://dx.doi.org/10.48448/enqx-hy58 https://underline.io/lecture/26769-sensorimotor-similarity-a-fully-grounded-and-efficient-measure-of-semantic-similarity BASE Hide details 6 Ritualized commitment displays in humans and non-human primates ... 43rd Annual Meeting of the Cognitive Science Society 2021; Kundt, Radek; Lang, Martin. - : Underline Science Inc., 2021 BASE Show details 7 Grounding Word Learning Across Situations ... 43rd Annual Meeting of the Cognitive Science Society 2021; Beser, Deniz; Cecil, Joe. - : Underline Science Inc., 2021 BASE Show details 8 Modelling Human Communication as a Rejection Game ... 43rd Annual Meeting of the Cognitive Science Society 2021; Capari, Artemis; Sbardolini, Giorgio. - : Underline Science Inc., 2021 BASE Show details 9 Sensorimotor similarity: A fully grounded and efficient measure of semantic similarity ... 43rd Annual Meeting of the Cognitive Science Society 2021; Connell, Louise; Wingfield, Cai. - : Underline Science Inc., 2021 BASE Show details 10 Ritualized commitment displays in humans and non-human primates ... 43rd Annual Meeting of the Cognitive Science Society 2021; Kundt, Radek; Lang, Martin. - : Underline Science Inc., 2021 BASE Show details

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