COLING 2020main5 citations
To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?
Quynh Do, Judith Gaspers, Tobias Roeding, Melanie Bradford
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.
BibTeX
@inproceedings{do-etal-2020-degree,
title = "To What Degree Can Language Borders Be Blurred In {BERT}-based Multilingual Spoken Language Understanding?",
author = "Do, Quynh and
Gaspers, Judith and
Roeding, Tobias and
Bradford, Melanie",
editor = "Scott, Donia and
Bel, Nuria and
Zong, Chengqing",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2020.coling-main.243/",
doi = "10.18653/v1/2020.coling-main.243",
pages = "2699--2709"
}