An Effective Non-Autoregressive Model for Spoken Language Understanding

16 August 2021

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

7 / 7 papers shown

Title
A Result based Portable Framework for Spoken Language Understanding Lizhi Cheng Weijia Jia Wenmian Yang 43 8 0 10 Mar 2021
Learning Light-Weight Translation Models from Deep Transformer Bei Li Ziyang Wang Hui Liu Quan Du Tong Xiao Chunliang Zhang Jingbo Zhu VLM 132 40 0 27 Dec 2020
SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling Di Wu Liang Ding Fan Lu Jian Xie VLM BDL 48 80 0 06 Oct 2020
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding Yijin Liu Fandong Meng Jinchao Zhang Jie Zhou Jinan Xu Jinan Xu 43 72 0 16 Sep 2019
Multi-Task Networks With Universe, Group, and Task Feature Learning Shiva K. Pentyala Mengwen Liu Markus Dreyer 85 23 0 03 Jul 2019
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces A. Coucke Alaa Saade Adrien Ball Théodore Bluche A. Caulier ... Thibault Gisselbrecht F. Caltagirone Thibaut Lavril Maël Primet Joseph Dureau SyDa 96 818 0 25 May 2018
Recurrent Neural Networks with External Memory for Language Understanding Baolin Peng Kaisheng Yao RALM 53 49 0 31 May 2015