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        <title>Using dependency parsing for few-shot learning in distributional semantics</title>
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            <title>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop</title>
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        <name type="personal">
            <namePart type="given">Samuel</namePart>
            <namePart type="family">Louvan</namePart>
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        <name type="personal">
            <namePart type="given">Andrea</namePart>
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    <abstract>In this work, we explore the novel idea of employing dependency parsing information in the context of few-shot learning, the task of learning the meaning of a rare word based on a limited amount of context sentences. Firstly, we use dependency-based word embedding models as background spaces for few-shot learning. Secondly, we introduce two few-shot learning methods which enhance the additive baseline model by using dependencies.</abstract>
    <identifier type="citekey">preda-emerson-2022-using</identifier>
    <identifier type="doi">10.18653/v1/2022.acl-srw.38</identifier>
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%0 Conference Proceedings
%T Using dependency parsing for few-shot learning in distributional semantics
%A Preda, Stefania
%A Emerson, Guy
%Y Louvan, Samuel
%Y Madotto, Andrea
%Y Madureira, Brielen
%S Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F preda-emerson-2022-using
%X In this work, we explore the novel idea of employing dependency parsing information in the context of few-shot learning, the task of learning the meaning of a rare word based on a limited amount of context sentences. Firstly, we use dependency-based word embedding models as background spaces for few-shot learning. Secondly, we introduce two few-shot learning methods which enhance the additive baseline model by using dependencies.
%R 10.18653/v1/2022.acl-srw.38
%U https://aclanthology.org/2022.acl-srw.38/
%U https://doi.org/10.18653/v1/2022.acl-srw.38
%P 461-466

Markdown (Informal)

[Using dependency parsing for few-shot learning in distributional semantics](https://aclanthology.org/2022.acl-srw.38/) (Preda & Emerson, ACL 2022)

• Using dependency parsing for few-shot learning in distributional semantics (Preda & Emerson, ACL 2022)

ACL

• Stefania Preda and Guy Emerson. 2022. Using dependency parsing for few-shot learning in distributional semantics. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 461–466, Dublin, Ireland. Association for Computational Linguistics.