Measuring non-trivial compositionality in emergent communication
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Abstract (arXiv)
Compositionality is an important explanatory target in emergent communication and language evolution. The vast majority of computational models of communication account for the emergence of only a very basic form of compositionality: trivial compositionality. A compositional protocol is trivially compositional if the meaning of a complex signal (e.g. blue circle) boils down to the intersection of meanings of its constituents (e.g. the intersection of the set of blue objects and the set of circles). A protocol is non-trivially compositional (NTC) if the meaning of a complex signal (e.g. biggest apple) is a more complex function of the meanings of their constituents. In this paper, we review several metrics of compositionality used in emergent communication and experimentally show that most of them fail to detect NTC - i.e. they treat non-trivial compositionality as a failure of compositionality. The one exception is tree reconstruction error, a metric motivated by formal accounts of compositionality. These results emphasise important limitations of emergent communication research that could hamper progress on modelling the emergence of NTC.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Oct 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 3; 2024: 3; 2025: 2; 2026: 1.
10 papers.
- 2024A Review of the Applications of Deep Learning-Based Emergent Communicationcited by 17
- 2023Towards More Human-like AI Communication: A Review of Emergent Communication Researchcited by 13
- 2021Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communicationcited by 12
- 2026The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMscited by 10
- 2023Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionalitycited by 3
- 2024Speaking Your Language: Spatial Relationships in Interpretable Emergent Communicationcited by 3
- 2023Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minimacited by 2
- 2024Semantics and Spatiality of Emergent Communicationcited by 2
- 2025Discovering Properties of Inflectional Morphology in Neural Emergent Communicationcited by 0
- 2025Morpheme Induction for Emergent Languagecited by 0
- 2026The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMs12 Feb 2026
- 2025Morpheme Induction for Emergent Language3 Oct 2025
- 2025Discovering Properties of Inflectional Morphology in Neural Emergent Communication7 Aug 2025
- 2024Semantics and Spatiality of Emergent Communication15 Nov 2024
- 2024A Review of the Applications of Deep Learning-Based Emergent Communication3 Jul 2024
- 2024Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication11 Jun 2024
- 2023Towards More Human-like AI Communication: A Review of Emergent Communication Research1 Aug 2023
- 2023Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima8 Mar 2023
- 2023Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality31 Jan 2023
- 2021Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication11 Nov 2021