A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases

Linhai Zhang, Chao Lin, Deyu Zhou, Yulan He, Meng Zhang

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Original language	English
Journal	COMPUTER SPEECH AND LANGUAGE
Volume	66
DOIs	https://doi.org/10.1016/j.csl.2020.101167
Publication status	Published - Mar 2021

Keywords

@article{78234d0b3e4146a9a8c77e4febd24c48,

title = "A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases",

keywords = "Question answering over knowledge bases, Bayesian neural network, Uncertainty estimation",

author = "Linhai Zhang and Chao Lin and Deyu Zhou and Yulan He and Meng Zhang",

year = "2021",

month = mar,

doi = "10.1016/j.csl.2020.101167",

language = "English",

volume = "66",

journal = "COMPUTER SPEECH AND LANGUAGE",

issn = "0885-2308",

publisher = "ACADEMIC PRESS INC",

}

TY - JOUR

T1 - A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases

AU - Zhang, Linhai

AU - Lin, Chao

AU - Zhou, Deyu

AU - He, Yulan

AU - Zhang, Meng

PY - 2021/3

Y1 - 2021/3

KW - Question answering over knowledge bases

KW - Bayesian neural network

KW - Uncertainty estimation

U2 - 10.1016/j.csl.2020.101167

DO - 10.1016/j.csl.2020.101167

M3 - Article

SN - 0885-2308

VL - 66

JO - COMPUTER SPEECH AND LANGUAGE

JF - COMPUTER SPEECH AND LANGUAGE

ER -