Bridging the Gap Between Clean Data Training and Real-World Inference
for Spoken Language Understanding

Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding

13 April 2021

Liang Ding

Papers citing "Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding"

5 / 5 papers shown

Title
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task Jinxu Zhao Guanting Dong Yueyan Qiu Tingfeng Hui Xiaoshuai Song Daichi Guo Weiran Xu 27 1 0 22 Feb 2024
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task Guanting Dong Jinxu Zhao Tingfeng Hui Daichi Guo Wenlong Wan ... Yueyan Qiu Zhuoma Gongque Keqing He Zechen Wang Weiran Xu AAML 27 19 0 10 Oct 2023
The USYD-JD Speech Translation System for IWSLT 2021 Liang Ding Di Wu Dacheng Tao 29 16 0 24 Jul 2021
Understanding and Improving Lexical Choice in Non-Autoregressive Translation Liang Ding Longyue Wang Xuebo Liu Derek F. Wong Dacheng Tao Zhaopeng Tu 96 77 0 29 Dec 2020
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015