ONENET: Joint domain, intent, slot prediction for spoken language understanding
ONENET: Joint domain, intent, slot prediction for spoken language understanding
In practice, most spoken language understanding systems process user input in a pipelined manner; first domain is predicted, then intent and semantic slots are inferred according to the semantic frames of the predicted domain. The pipeline approach, however, has some disadvantages: error propagation and lack of information sharing. To address …