An Effective Non-Autoregressive Model for Spoken Language Understanding

16 August 2021

Papers citing "An Effective Non-Autoregressive Model for Spoken Language Understanding"

8 / 8 papers shown

Title
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning Xuxin Cheng Wanshi Xu Zhihong Zhu Hongxiang Li Yuexian Zou 61 13 0 31 May 2024
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU Guanhua Chen Yutong Yao Derek F. Wong Lidia S. Chao 35 2 0 05 May 2024
Capture Salient Historical Information: A Fast and Accurate Non-Autoregressive Model for Multi-turn Spoken Language Understanding Lizhi Cheng Weijia Jia Wenmian Yang OffRL 34 4 0 24 Jun 2022
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding Shining Liang Linjun Shou Jian Pei Ming Gong Wanli Zuo Xianglin Zuo Daxin Jiang 25 7 0 07 May 2022
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond Yisheng Xiao Lijun Wu Junliang Guo Juntao Li M. Zhang Tao Qin Tie-Yan Liu 3DV MedIm AI4CE 30 82 0 20 Apr 2022
Learning Light-Weight Translation Models from Deep Transformer Bei Li Ziyang Wang Hui Liu Quan Du Tong Xiao Chunliang Zhang Jingbo Zhu VLM 114 40 0 27 Dec 2020
Regularized Attentive Capsule Network for Overlapped Relation Extraction Tianyi Liu Xiangyu Lin Weijia Jia Mingliang Zhou Wei Zhao 44 8 0 18 Dec 2020
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding Libo Qin Wanxiang Che Yangming Li Haoyang Wen Ting Liu 41 260 0 05 Sep 2019