| 1 |
Conventional metaphors elicit greater real-time engagement than literal paraphrases or concrete sentences
|
|
|
|
BASE
|
|
Show details
|
|
|
| 3 |
From partners to populations: A hierarchical Bayesian account of coordination and convention ...
|
|
|
|
Abstract:
Languages are powerful solutions to coordination problems: they provide stable, shared expectations about how the words we say correspond to the beliefs and intentions in our heads. Yet language use in a variable and non-stationary social environment requires linguistic representations to be flexible: old words acquire new ad hoc or partner-specific meanings on the fly. In this paper, we introduce CHAI (Continual Hierarchical Adaptation through Inference), a hierarchical Bayesian theory of coordination and convention formation that aims to reconcile the long-standing tension between these two basic observations. We argue that the central computational problem of communication is not simply transmission, as in classical formulations, but continual learning and adaptation over multiple timescales. Partner-specific common ground quickly emerges from social inferences within dyadic interactions, while community-wide social conventions are stable priors that have been abstracted away from interactions with ... : In press at Psychological Review ...
|
|
Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.2104.05857
https://arxiv.org/abs/2104.05857
|
|
BASE
|
|
Hide details
|
|
|
| 4 |
Accessibility and Historical Change: An Emergent Cluster Led Uncles and Aunts to Become Aunts and Uncles
|
|
|
|
In: Front Psychol (2021)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Investigating representations of verb bias in neural language models ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Metaphorical language processing and amygdala activation in L1 and L2
|
|
|
|
BASE
|
|
Show details
|
|
|
| 9 |
When regularization gets it wrong: children over-simplify language input only in production
|
|
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Neural systems involved in processing novel linguistic constructions and their visual referents
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
