Neural enquirer: learning to query tables in natural language

@inproceedings{Lu2016NeuralEL,
  title={Neural enquirer: learning to query tables in natural language},
  author={Zhengdong Lu and Hang Li and Ben Kao},
  booktitle={IEEE Data Eng. Bull.},
  year={2016}
}
  • Zhengdong Lu, Hang Li, Ben Kao
  • Published in IEEE Data Eng. Bull. 2016
  • Computer Science
  • We proposed Neural Enquirer as a neural network architecture to execute a natural language (NL) query on a knowledge-base (KB) for answers. Basically, Neural Enquirer finds the distributed representation of a query and then executes it on knowledge-base tables to obtain the answer as one of the values in the tables. Unlike similar efforts in end-to-end training of semantic parsers, Neural Enquirer is fully "neuralized": it not only gives distributional representation of the query and the… CONTINUE READING

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