Den-ML: Multi-source cross-lingual transfer via denoising mutual learning-Reference-Cited by-同舟云学术

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Den-ML: Multi-source cross-lingual transfer via denoising mutual learning

Published:2024-11 Issue:6 Volume:61 Page:103834
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Ge Ling^ORCID,Hu Chunming^ORCID,Ma Guanghui^ORCID,Zhang Hong^ORCID,Liu Jihong^ORCID

Funder

National Key Research and Development Program of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Reference65 articles.

1. Composable sparse fine-tuning for cross-lingual transfer;Ansell,2022

2. Multi-source cross-lingual model transfer: Learning what to share;Chen,2019

3. mCLIP: Multilingual CLIP via cross-lingual transfer;Chen,2023

4. AdvPicker: Effectively leveraging unlabeled data via adversarial discriminator for cross-lingual NER;Chen,2021

5. Improving pretrained cross-lingual language models via self-labeled word alignment;Chi,2021

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