Quantifying Uncertainties in Natural Language Processing Tasks
Yijun Xiao, William Yang Wang • Proceedings of the AAAI Conference on Artificial Intelligence
(2019)
Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep learning has made such quantification realizable. In this paper,...
OPENALEX
Open Access
DOI:
https://doi.org/10.1609/aaai.v33i01.33017322