Nur Geffen Lan

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2020

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On the Spontaneous Emergence of Discrete and Compositional Signals
Nur Geffen Lan | Emmanuel Chemla | Shane Steinert-Threlkeld
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

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.
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