CLApr 30, 2020Code
On the Spontaneous Emergence of Discrete and Compositional SignalsNur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld
We propose a general framework to study language emergence through signaling games with neural agents. Using a continuous latent space, we are able to (i) train using backpropagation, (ii) show that discrete messages nonetheless naturally emerge. We explore whether categorical perception effects follow and show that the messages are not compositional.