Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision

    ACL, 2017.

    Cited by: 154|Bibtex|Views23|Links
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    Abstract:

    Harnessing the statistical power of neural networks to perform language understanding and symbolic reasoning is difficult, when it requires executing efficient discrete operations against a large knowledge-base. In this work, we introduce a Neural Symbolic Machine, which contains (a) a neural programmer, i.e., a sequence-to-sequence model...More

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