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Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding
We propose an architecture to jointly learn word and label embeddings for slot filling in spoken language understanding.
Attention-based Semantic Priming for Slot-filling
The problem of sequence labelling in language understanding would benefit from approaches inspired by semantic priming phenomena.
Semantic Explanations of Predictions
The main objective of explanations is to transmit knowledge to humans.
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