Towards a Fully Interpretable and More Scalable RSA Model for Metaphor Understanding

arXiv:2404.02983v1 Announce Type: new
Abstract: The Rational Speech Act (RSA) model provides a flexible framework to model pragmatic reasoning in computational terms. However, state-of-the-art RSA models are still fairly distant from modern machine learning techniques and present a number of limitations related to their interpretability and scalability. Here, we introduce a new RSA framework for metaphor understanding that addresses these limitations by providing an explicit formula - based on the mutually shared information between the speaker and the listener - …

abstract act art arxiv computational cs.cl framework however interpretability limitations machine machine learning machine learning techniques modern reasoning rsa scalability scalable speech state terms type understanding