AutoNLU: Detecting, root-causing, and fixing NLU model errors

no code implementations • 12 Oct 2021 • Pooja Sethi, Denis Savenkov, Forough Arabshahi, Jack Goetz, Micaela Tolliver, Nicolas Scheffer, Ilknur Kabul, Yue Liu, Ahmed Aly

Improving the quality of Natural Language Understanding (NLU) models, and more specifically, task-oriented semantic parsing models, in production is a cumbersome task.

Active Learning Natural Language Understanding +1

Robust Deep Learning with Active Noise Cancellation for Spatial Computing

no code implementations • 16 Nov 2020 • Li Chen, David Yang, Purvi Goel, Ilknur Kabul

This paper proposes CANC, a Co-teaching Active Noise Cancellation method, applied in spatial computing to address deep learning trained with extreme noisy labels.

Retrieval