Synthetic Utterance Program Pairs

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otherentity ID: syntheticutteranceprogrampairs

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Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractModern semantic parsers suffer from two principal limitations. First, training requires expensive collection of utterance-program pairs. Second, semantic parsers fail to generalize at test time to new compositions/structures that have …...

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