Semantic parsing with semi-supervised sequential autoencoders
We present a novel semi-supervised approach for sequence transduction and apply it to semantic parsing. The unsupervised component is based on a generative model in which latent sentences generate the unpaired logical forms. We apply this method to a number of semantic parsing tasks focusing on doma...
| Main Authors: | , , , , , , |
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| Format: | Conference item |
| Published: |
Association for Computational Linguistics
2016
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