Learning in the Rational Speech Acts Model

10/23/2015
by   Will Monroe, et al.
0

The Rational Speech Acts (RSA) model treats language use as a recursive process in which probabilistic speaker and listener agents reason about each other's intentions to enrich the literal semantics of their language along broadly Gricean lines. RSA has been shown to capture many kinds of conversational implicature, but it has been criticized as an unrealistic model of speakers, and it has so far required the manual specification of a semantic lexicon, preventing its use in natural language processing applications that learn lexical knowledge from data. We address these concerns by showing how to define and optimize a trained statistical classifier that uses the intermediate agents of RSA as hidden layers of representation forming a non-linear activation function. This treatment opens up new application domains and new possibilities for learning effectively from data. We validate the model on a referential expression generation task, showing that the best performance is achieved by incorporating features approximating well-established insights about natural language generation into RSA.

READ FULL TEXT

page 1

page 2

page 3

page 4

09/16/2019

Communication-based Evaluation for Natural Language Generation

Natural language generation (NLG) systems are commonly evaluated using n...
02/02/2022

Knowledge Engineering in the Long Game of Artificial Intelligence: The Case of Speech Acts

This paper describes principles and practices of knowledge engineering t...
03/19/2019

When redundancy is rational: A Bayesian approach to 'overinformative' referring expressions

Referring is one of the most basic and prevalent uses of language. How d...
05/31/2020

Learning to refer informatively by amortizing pragmatic reasoning

A hallmark of human language is the ability to effectively and efficient...
08/26/2020

On the Optimality of Vagueness: "Around", "Between", and the Gricean Maxims

Why is our language vague? We argue that in contexts in which a cooperat...
09/18/1998

Semantics and Conversations for an Agent Communication Language

We address the issues of semantics and conversations for agent communica...
10/08/2018

Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games

Simple reference games are of central theoretical and empirical importan...