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Learning a Natural Language Interface with Neural Programmer
[article]
2017
arXiv
pre-print
Learning a natural language interface for database tables is a challenging task that involves deep language understanding and multi-step reasoning. The task is often approached by mapping natural language queries to logical forms or programs that provide the desired response when executed on the database. To our knowledge, this paper presents the first weakly supervised, end-to-end neural network model to induce such programs on a real-world dataset. We enhance the objective function of Neural
arXiv:1611.08945v4
fatcat:th73j7sqtzgfrl6ogf72dj2lc4