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We demonstrate the value of collecting semantic parse labels for knowledge base question answering. In particular, (1) unlike previous studies on small-scale datasets, we show that learning from labeled semantic parses significantly improves overall performance, resulting in absolute 5 point gain compared to learning from answers, (2) we show that with an appropriate user interface, one can obtain semantic parses with high accuracy and at a cost comparable or lower than obtaining just answers, and (3) we have created and shared the largest semantic-parse labeled dataset to date in order to advance research in question answering.
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Yih et al. (Fri,) studied this question.
www.synapsesocial.com/papers/6a02d25a84f5cf1d387547ea — DOI: https://doi.org/10.18653/v1/p16-2033
Wen-tau Yih
Matthew Richardson
C. E. Meek
Microsoft Research (United Kingdom)
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