Uncertainty-Aware Semantic Augmentation for Neural Machine Translation

9 October 2020

Papers citing "Uncertainty-Aware Semantic Augmentation for Neural Machine Translation"

7 / 7 papers shown

Title
Data Augmentation for Machine Translation via Dependency Subtree Swapping Attila Nagy Dorina Lakatos Botond Barta Patrick Nanys Judit Ács 31 1 0 13 Jul 2023
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 197 22 0 20 Oct 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt Willie Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 175 86 0 10 Oct 2022
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers Bowen Qin Lihan Wang Binyuan Hui Bowen Li Xiangpeng Wei Binhua Li Fei Huang Luo Si Min Yang Yongbin Li 45 9 0 14 Sep 2022
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation Xiangpeng Wei Heng Yu Yue Hu Rongxiang Weng Weihua Luo Jun Xie Rong Jin CLL 17 24 0 14 Apr 2022
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach Víctor M. Sánchez-Cartagena M. Esplà-Gomis Juan Antonio Pérez-Ortiz Felipe Sánchez-Martínez 45 27 0 08 Sep 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,748 0 26 Sep 2016