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Multi-Task Learning for Semantic Parsing with Cross-Domain Sketch

ICLR 2019 • Huan Wang • Yuxiang Hu • Li Dong • Feijun Jiang • Zaiqing Nie

Semantic parsing which maps a natural language sentence into a formal machine-readable representation of its meaning, is highly constrained by the limited annotated training data. Inspired by the idea of coarse-to-fine, we propose a general-to-detailed neural network(GDNN) by incorporating cross-domain sketch(CDS) among utterances and their logic forms... (read more)

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