most citedJoint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding

1 citations · 1 across the 1 of their papers we have counts for

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1 paper

cs.CL2019★ 1 cited

Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding

Jiewen Wu, Luis Fernando D'Haro, Nancy F. Chen +2

We propose an architecture to jointly learn word and label embeddings for slot filling in spoken language understanding. The proposed approach encodes labels using a combination of…