Intent detection and slot filling are important tasks in spoken and natural language
understanding. However, Vietnamese is a low-resource language in these research topics.
In this paper, we present the first public intent detection and slot filling dataset for
Vietnamese. In addition, we also propose a joint model for intent detection and slot filling,
that extends the recent state-of-the-art JointBERT+ CRF model with an intent-slot attention
layer to explicitly incorporate intent context information into slot filling via" soft" intent label …

Intent detection and slot filling are important tasks in spoken and natural language
understanding. However, Vietnamese is a low-resource language in these research topics.
In this paper, we present the first public intent detection and slot filling dataset for
Vietnamese. In addition, we also propose a joint model for intent detection and slot filling,
that extends the recent state-of-the-art JointBERT+ CRF model with an intent-slot attention
layer to explicitly incorporate intent context information into slot filling via" soft" intent label …