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Conventional metaphors elicit greater real-time engagement than literal paraphrases or concrete sentences
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From partners to populations: A hierarchical Bayesian account of coordination and convention ...
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Accessibility and Historical Change: An Emergent Cluster Led Uncles and Aunts to Become Aunts and Uncles
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In: Front Psychol (2021)
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Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks ...
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Abstract:
A key property of linguistic conventions is that they hold over an entire community of speakers, allowing us to communicate efficiently even with people we have never met before. At the same time, much of our language use is partner-specific: we know that words may be understood differently by different people based on our shared history. This poses a challenge for accounts of convention formation. Exactly how do agents make the inferential leap to community-wide expectations while maintaining partner-specific knowledge? We propose a hierarchical Bayesian model to explain how speakers and listeners solve this inductive problem. To evaluate our model's predictions, we conducted an experiment where participants played an extended natural-language communication game with different partners in a small community. We examine several measures of generalization and find key signatures of both partner-specificity and community convergence that distinguish our model from alternatives. These results suggest that ... : CogSci 2020 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Social and Information Networks cs.SI
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URL: https://arxiv.org/abs/2002.01510 https://dx.doi.org/10.48550/arxiv.2002.01510
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Investigating representations of verb bias in neural language models ...
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Metaphorical language processing and amygdala activation in L1 and L2
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When regularization gets it wrong: children over-simplify language input only in production
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Neural systems involved in processing novel linguistic constructions and their visual referents
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