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        <title>A Systematic Survey of Text Worlds as Embodied Natural Language Environments</title>
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            <title>Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022)</title>
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        <name type="personal">
            <namePart type="given">Marc-Alexandre</namePart>
            <namePart type="family">Côté</namePart>
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        <name type="personal">
            <namePart type="given">Xingdi</namePart>
            <namePart type="family">Yuan</namePart>
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        <name type="personal">
            <namePart type="given">Prithviraj</namePart>
            <namePart type="family">Ammanabrolu</namePart>
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    <abstract>Text Worlds are virtual environments for embodied agents that, unlike 2D or 3D environments, are rendered exclusively using textual descriptions. These environments offer an alternative to higher-fidelity 3D environments due to their low barrier to entry, providing the ability to study semantics, compositional inference, and other high-level tasks with rich action spaces while controlling for perceptual input. This systematic survey outlines recent developments in tooling, environments, and agent modeling for Text Worlds, while examining recent trends in knowledge graphs, common sense reasoning, transfer learning of Text World performance to higher-fidelity environments, as well as near-term development targets that, once achieved, make Text Worlds an attractive general research paradigm for natural language processing.</abstract>
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    <identifier type="doi">10.18653/v1/2022.wordplay-1.1</identifier>
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        <date>2022-07</date>
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%0 Conference Proceedings
%T A Systematic Survey of Text Worlds as Embodied Natural Language Environments
%A Jansen, Peter
%Y Côté, Marc-Alexandre
%Y Yuan, Xingdi
%Y Ammanabrolu, Prithviraj
%S Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022)
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, United States
%F jansen-2022-systematic
%X Text Worlds are virtual environments for embodied agents that, unlike 2D or 3D environments, are rendered exclusively using textual descriptions. These environments offer an alternative to higher-fidelity 3D environments due to their low barrier to entry, providing the ability to study semantics, compositional inference, and other high-level tasks with rich action spaces while controlling for perceptual input. This systematic survey outlines recent developments in tooling, environments, and agent modeling for Text Worlds, while examining recent trends in knowledge graphs, common sense reasoning, transfer learning of Text World performance to higher-fidelity environments, as well as near-term development targets that, once achieved, make Text Worlds an attractive general research paradigm for natural language processing.
%R 10.18653/v1/2022.wordplay-1.1
%U https://aclanthology.org/2022.wordplay-1.1
%U https://doi.org/10.18653/v1/2022.wordplay-1.1
%P 1-15

Markdown (Informal)

[A Systematic Survey of Text Worlds as Embodied Natural Language Environments](https://aclanthology.org/2022.wordplay-1.1) (Jansen, Wordplay 2022)

• A Systematic Survey of Text Worlds as Embodied Natural Language Environments (Jansen, Wordplay 2022)

ACL

• Peter Jansen. 2022. A Systematic Survey of Text Worlds as Embodied Natural Language Environments. In Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022), pages 1–15, Seattle, United States. Association for Computational Linguistics.