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Combining semantic search and twin product classification for recognition of purchasable items in voice shopping
To overcome this problem, we present a framework that (1) uses a retrieval module that returns the most rele- vant products with respect to the detected slot, and (2) combines it with a twin network that decides if the detected slot is indeed a pur- chasable item or not.
It is better to Verify: Semi-Supervised Learning with a human in the loop for large-scale NLU models
When a NLU model is updated, new utter- ances must be annotated to be included for training.
The impact of domain-specific representations on BERT-based multi-domain spoken language understanding
This paper provides the first experimental study on the impact of using domain-specific representations on a BERT-based multi-task spoken language understanding (SLU) model for multi-domain applications.
To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?
This paper addresses the question as to what degree a BERT-based multilingual Spoken Language Understanding (SLU) model can transfer knowledge across languages.
