Semantic Parsing with Semi-Supervised Sequential Autoencoders

Chris Dyer; Edward Grefenstette; G\'abor Melis; Karl Moritz Hermann; Phil Blunsom; Tom\'a\v{s} Ko\v{c}isk\'y; Wang Ling

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Semantic Parsing with Semi-Supervised Sequential Autoencoders

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arxiv 1609.09315 v1 pith:WPVW4WCL submitted 2016-09-29 cs.CL cs.AIcs.NE

Semantic Parsing with Semi-Supervised Sequential Autoencoders

Tom\'a\v{s} Ko\v{c}isk\'y , G\'abor Melis , Edward Grefenstette , Chris Dyer , Wang Ling , Phil Blunsom , Karl Moritz Hermann This is my paper

classification cs.CL cs.AIcs.NE

keywords parsingsemanticapplyformslogicalsemi-supervisedaccessapproach

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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 domains with limited access to labelled training data and extend those datasets with synthetically generated logical forms.

Semantic Parsing with Semi-Supervised Sequential Autoencoders

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