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        <title>To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?</title>
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        <namePart type="given">Quynh</namePart>
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    <name type="personal">
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    <name type="personal">
        <namePart type="given">Melanie</namePart>
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            <namePart type="given">Chengqing</namePart>
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    <abstract>This paper addresses the question as to what degree a BERT-based multilingual Spoken Language Understanding (SLU) model can transfer knowledge across languages. Through experiments we will show that, although it works substantially well even on distant language groups, there is still a gap to the ideal multilingual performance. In addition, we propose a novel BERT-based adversarial model architecture to learn language-shared and language-specific representations for multilingual SLU. Our experimental results prove that the proposed model is capable of narrowing the gap to the ideal multilingual performance.</abstract>
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%0 Conference Proceedings
%T To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?
%A Do, Quynh
%A Gaspers, Judith
%A Roeding, Tobias
%A Bradford, Melanie
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F do-etal-2020-degree
%X This paper addresses the question as to what degree a BERT-based multilingual Spoken Language Understanding (SLU) model can transfer knowledge across languages. Through experiments we will show that, although it works substantially well even on distant language groups, there is still a gap to the ideal multilingual performance. In addition, we propose a novel BERT-based adversarial model architecture to learn language-shared and language-specific representations for multilingual SLU. Our experimental results prove that the proposed model is capable of narrowing the gap to the ideal multilingual performance.
%R 10.18653/v1/2020.coling-main.243
%U https://aclanthology.org/2020.coling-main.243/
%U https://doi.org/10.18653/v1/2020.coling-main.243
%P 2699-2709

Markdown (Informal)

[To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?](https://aclanthology.org/2020.coling-main.243/) (Do et al., COLING 2020)

• To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding? (Do et al., COLING 2020)

ACL

• Quynh Do, Judith Gaspers, Tobias Roeding, and Melanie Bradford. 2020. To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?. In Proceedings of the 28th International Conference on Computational Linguistics, pages 2699–2709, Barcelona, Spain (Online). International Committee on Computational Linguistics.