Label-Dependency Coding in Simple Recurrent Networks for Spoken Language Understanding
INTERSPEECH, pp. 2491-2495, 2017.
Modelling target label dependencies is important for sequence labelling tasks. This may become crucial in the case of Spoken Language Understanding (SLU) applications, especially for the slot-filling task where models have to deal often with a high number of target labels. Conditional Random Fields (CRF) were previously considered as the ...More
Full Text (Upload PDF)
PPT (Upload PPT)