Capture Salient Historical Information: A Fast and Accurate Non-autoregressive Model for Multi-turn Spoken Language Understanding.

Lizhi Cheng|Weijia Jia|Wenmian Yang


Anthology ID:DBLP:journals/tois/ChengJY23
Year:2023
Venue:ACM Transactions on Information Systems (TOIS)
Pages:41:1-41:32
URL:https://doi.org/10.1145/3545800
DOI:https://doi.org/10.1145/3545800
DBLP:journals/tois/ChengJY23
BibTeX:
@article{cheng-2023-capture, author = {Lizhi Cheng and Weijia Jia and Wenmian Yang}, title = {{Capture Salient Historical Information: A Fast and Accurate Non-autoregressive Model for Multi-turn Spoken Language Understanding}}, journal = {ACM Transactions on Information Systems (TOIS)}, volume = {41}, number = {2}, pages = {41:1--41:32}, year = {2023}, url = {https://doi.org/10.1145/3545800}, doi = {https://doi.org/10.1145/3545800} }