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        <title>LMs stand their Ground: Investigating the Effect of Embodiment in Figurative Language Interpretation by Language Models</title>
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    <abstract>Figurative language is a challenge for language models since its interpretation is based on the use of words in a way that deviates from their conventional order and meaning. Yet, humans can easily understand and interpret metaphors, similes or idioms as they can be derived from embodied metaphors. Language is a proxy for embodiment and if a metaphor is conventional and lexicalised, it becomes easier for a system without a body to make sense of embodied concepts. Yet, the intricate relation between embodiment and features such as concreteness or age of acquisition has not been studied in the context of figurative language interpretation concerning language models. Hence, the presented study shows how larger language models perform better at interpreting metaphoric sentences when the action of the metaphorical sentence is more embodied. The analysis rules out multicollinearity with other features (e.g. word length or concreteness) and provides initial evidence that larger language models conceptualise embodied concepts to a degree that facilitates figurative language understanding.</abstract>
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%0 Conference Proceedings
%T LMs stand their Ground: Investigating the Effect of Embodiment in Figurative Language Interpretation by Language Models
%A Wicke, Philipp
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Findings of the Association for Computational Linguistics: ACL 2023
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F wicke-2023-lms
%X Figurative language is a challenge for language models since its interpretation is based on the use of words in a way that deviates from their conventional order and meaning. Yet, humans can easily understand and interpret metaphors, similes or idioms as they can be derived from embodied metaphors. Language is a proxy for embodiment and if a metaphor is conventional and lexicalised, it becomes easier for a system without a body to make sense of embodied concepts. Yet, the intricate relation between embodiment and features such as concreteness or age of acquisition has not been studied in the context of figurative language interpretation concerning language models. Hence, the presented study shows how larger language models perform better at interpreting metaphoric sentences when the action of the metaphorical sentence is more embodied. The analysis rules out multicollinearity with other features (e.g. word length or concreteness) and provides initial evidence that larger language models conceptualise embodied concepts to a degree that facilitates figurative language understanding.
%R 10.18653/v1/2023.findings-acl.302
%U https://aclanthology.org/2023.findings-acl.302
%U https://doi.org/10.18653/v1/2023.findings-acl.302
%P 4899-4913

Markdown (Informal)

[LMs stand their Ground: Investigating the Effect of Embodiment in Figurative Language Interpretation by Language Models](https://aclanthology.org/2023.findings-acl.302) (Wicke, Findings 2023)

• LMs stand their Ground: Investigating the Effect of Embodiment in Figurative Language Interpretation by Language Models (Wicke, Findings 2023)

ACL

• Philipp Wicke. 2023. LMs stand their Ground: Investigating the Effect of Embodiment in Figurative Language Interpretation by Language Models. In Findings of the Association for Computational Linguistics: ACL 2023, pages 4899–4913, Toronto, Canada. Association for Computational Linguistics.