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        <title>Learning Functional Distributional Semantics with Visual Data</title>
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            <title>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</title>
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            <namePart type="family">Muresan</namePart>
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    <abstract>Functional Distributional Semantics is a recently proposed framework for learning distributional semantics that provides linguistic interpretability. It models the meaning of a word as a binary classifier rather than a numerical vector. In this work, we propose a method to train a Functional Distributional Semantics model with grounded visual data. We train it on the Visual Genome dataset, which is closer to the kind of data encountered in human language acquisition than a large text corpus. On four external evaluation datasets, our model outperforms previous work on learning semantics from Visual Genome.</abstract>
    <identifier type="citekey">liu-emerson-2022-learning</identifier>
    <identifier type="doi">10.18653/v1/2022.acl-long.275</identifier>
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%0 Conference Proceedings
%T Learning Functional Distributional Semantics with Visual Data
%A Liu, Yinhong
%A Emerson, Guy
%Y Muresan, Smaranda
%Y Nakov, Preslav
%Y Villavicencio, Aline
%S Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F liu-emerson-2022-learning
%X Functional Distributional Semantics is a recently proposed framework for learning distributional semantics that provides linguistic interpretability. It models the meaning of a word as a binary classifier rather than a numerical vector. In this work, we propose a method to train a Functional Distributional Semantics model with grounded visual data. We train it on the Visual Genome dataset, which is closer to the kind of data encountered in human language acquisition than a large text corpus. On four external evaluation datasets, our model outperforms previous work on learning semantics from Visual Genome.
%R 10.18653/v1/2022.acl-long.275
%U https://aclanthology.org/2022.acl-long.275
%U https://doi.org/10.18653/v1/2022.acl-long.275
%P 3976-3988

Markdown (Informal)

[Learning Functional Distributional Semantics with Visual Data](https://aclanthology.org/2022.acl-long.275) (Liu & Emerson, ACL 2022)

• Learning Functional Distributional Semantics with Visual Data (Liu & Emerson, ACL 2022)

ACL

• Yinhong Liu and Guy Emerson. 2022. Learning Functional Distributional Semantics with Visual Data. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 3976–3988, Dublin, Ireland. Association for Computational Linguistics.