Curriculum-Style Fine-Grained Adaption for Unsupervised Cross-Lingual Dependency Transfer-Reference-Cited by-同舟云学术

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Curriculum-Style Fine-Grained Adaption for Unsupervised Cross-Lingual Dependency Transfer

Published:2023 Issue: Volume:31 Page:322-332
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Guo Peiming¹^ORCID,Huang Shen²,Jiang Peijie³^ORCID,Sun Yueheng¹^ORCID,Zhang Meishan⁴^ORCID,Zhang Min⁴

Affiliation:

1. College of Intelligence and Computing, Tianjin University, Tianjin, China

2. Alibaba DAMO Academy, Hangzhou, China

3. School of New Media and Communication, Tianjin University, Tianjin, China

4. Institute of Computing and Intelligence, Harbin Institute of Technology Shenzhen, Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9970249/09961955.pdf?arnumber=9961955

Reference69 articles.

1. Probability of error of some adaptive pattern-recognition machines

2. Synthetic Treebanking for Cross-Lingual Dependency Parsing

3. On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing

4. Contextual Parameter Generation for Universal Neural Machine Translation

5. Competence-based Curriculum Learning for Neural Machine Translation

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Filtered data augmentation approach based on model competence evaluation;Physical Communication;2024-02

2. Faking a Teacher Works! Dependency Scoring Learning and Corpus Boosting for Translation-Based Cross-Lingual Dependency Parsing;2023

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