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Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via
  Intent Conditioning

Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning

14 April 2022
Geunseob Oh
Rahul Goel
Christopher Hidey
Shachi Paul
Aditya Gupta
Pararth Shah
Rushin Shah
ArXivPDFHTML

Papers citing "Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning"

3 / 3 papers shown
Title
Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers
Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers
Daniel Fernández-González
36
0
0
21 Oct 2022
Reducing Model Jitter: Stable Re-training of Semantic Parsers in
  Production Environments
Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments
Christopher Hidey
Fei Liu
Rahul Goel
24
4
0
10 Apr 2022
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
6,746
0
26 Sep 2016
1