In this paper, we present a weakly super- vised learning approach for spoken lan- guage understanding in domain-specific dialogue systems.
In this paper, we present a weakly super- vised learning approach for spoken lan- guage understanding in domain-specific dialogue systems.
In this paper, we present a weakly supervised learning approach for spoken language understanding in domain-specific dialogue systems.
In this paper, we present a weakly supervised learning approach for spoken language understanding in domain-specific dialogue systems.
A weakly supervised learning approach for spoken language understanding in domain-specific dialogue systems and a practical method for bootstrapping the ...
A Weakly Supervised Learning Approach for Spoken Language Understanding. Wei-Lin Wu | Ru-Zhan Lu | Jian-Yong Duan | Hui Liu | Feng Gao | Yu-Quan Chen |. Paper ...
Jun 21, 2022 · Abstract:In Weak Supervised Learning (WSL), a model is trained over noisy labels obtained from semantic rules and task-specific pre-trained ...
Missing: Weakly Approach
We evaluate our approach on three challenging pub- licly available data sets for continuous sign language recognition, mouth shape detection and hand shape.
Many semi- and weakly-supervised approaches have been in- vestigated for overcoming the labeling cost of building high- quality speech recognition systems.
The COMPRISE Weakly Supervised Learning for NLU library is an open-source tool that allows to perform tasks such as Named Entity Recognition with significantly ...