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The principle of compositionality, which enables natural language to represent complex concepts via a structured combination of simpler ones, allows us to convey an open-ended set of messages using a limited vocabulary.
Binary codes capable of correcting deletions, insertions, and reversals
Vladimir I Levenshtein · 1966
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Convention: A philosophical study
David Lewis · 1969
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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Herbert H Clark · 1996
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Foundations of statistical natural language processing
Christopher D Manning, Christopher D Manning, and Hinrich Schütze · 1999
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Compositional syntax from cultural transmission
Henry Brighton · 2002
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The emergence of linguistic structure: An overview of the iterated learning model
Simon Kirby and James R Hurford · 2002
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Convex optimization
Stephen Boyd and Lieven Vandenberghe · 2004
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Understanding linguistic evolution by visualizing the emergence of topographic mappings
Henry Brighton and Simon Kirby · 2006
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Abstract meaning representation for sembanking
Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, and Nathan Schneider · 2013
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The nature of statistical learning theory
Vladimir Vapnik · 2013
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Iterated learning and the evolution of language
Simon Kirby, Tom Griffiths, and Kenny Smith · 2014
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Compression and communication in the cultural evolution of linguistic structure
Simon Kirby, Monica Tamariz, Hannah Cornish, and Kenny Smith · 2015
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Learning to communicate with deep multi-agent reinforcement learning
Jakob Foerster, Ioannis Alexandros Assael, Nando de Freitas, and Shimon Whiteson · 2016
Emergence of language with multi-agent games: Learning to communicate with sequences of symbols
Serhii Havrylov and Ivan Titov · 2017
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Natural language does not emerge ‘naturally’in multi-agent dialog
Satwik Kottur, José Moura, Stefan Lee, and Dhruv Batra · 2017
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Compositional obverter communication learning from raw visual input
Edward Choi, Angeliki Lazaridou, and Nando de Freitas · 2018
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Emergence of linguistic communication from referential games with symbolic and pixel input
Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, and Stephen Clark · 2018
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Emergence of grounded compositional language in multi-agent populations
Igor Mordatch and Pieter Abbeel · 2018
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Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
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The cultural evolution of structured languages in an open-ended, continuous world
Jon W Carr, Kenny Smith, Hannah Cornish, and Simon Kirby · 2017
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Jacob Andreas · 2019
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Emergence of compositional language with deep generational transmission
Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, and Dhruv Batra · 2019
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Ease-of-teaching and language structure from emergent communication
Fushan Li and Michael Bowling · 2019
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