UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP

28 April 2020

Papers citing "UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP"

8 / 8 papers shown

Title
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding Dongyang Li Taolin Zhang Jiali Deng Longtao Huang Chengyu Wang Xiaofeng He Hui Xue 34 1 0 24 Jun 2024
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 21 6 0 22 Feb 2023
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations Linlin Liu Xingxuan Li Megh Thakkar Xin Li Chenyu You Luo Si Lidong Bing 27 2 0 16 Nov 2022
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text Summarization Md Tahmid Rahman Laskar Enamul Hoque J. Huang 36 45 0 22 Dec 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 130 271 0 05 Oct 2021
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification M Saiful Bari Batool Haider Saab Mansour VLM 19 13 0 06 Sep 2021
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER Ran Zhou Xin Li Ruidan He Lidong Bing Min Zhang Luo Si Steven C. H. Hoi 34 95 0 31 Aug 2021
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings Phillip Keung Y. Lu Julian Salazar Vikas Bhardwaj 35 14 0 30 Apr 2020