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Jointly Encoding Word Confusion Network and Dialogue Context with BERT
  for Spoken Language Understanding

Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding

24 May 2020
Chen Liu
Su Zhu
Zijian Zhao
Ruisheng Cao
Lu Chen
Kai Yu
ArXivPDFHTML

Papers citing "Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding"

3 / 3 papers shown
Title
End-to-End Spoken Language Understanding: Performance analyses of a
  voice command task in a low resource setting
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting
Thierry Desot
François Portet
Michel Vacher
27
12
0
17 Jul 2022
N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR
  Hypotheses
N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR Hypotheses
Karthik Ganesan
P. Bamdev
Jaivarsan B
Amresh Venugopal
A. Tushar
9
19
0
11 Jun 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
1