Corpus ID: 53289148

Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters

@article{Lukovnikov2018TranslatingNL,
  title={Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters},
  author={D. Lukovnikov and Nilesh Chakraborty and Jens Lehmann and Asja Fischer},
  journal={ArXiv},
  year={2018},
  volume={abs/1811.05303}
}
  • D. Lukovnikov, Nilesh Chakraborty, +1 author Asja Fischer
  • Published 2018
  • Computer Science
  • ArXiv
  • Translating natural language to SQL queries for table-based question answering is a challenging problem and has received significant attention from the research community. In this work, we extend a pointer-generator and investigate the order-matters problem in semantic parsing for SQL. Even though our model is a straightforward extension of a general-purpose pointer-generator, it outperforms early works for WikiSQL and remains competitive to concurrently introduced, more complex models… CONTINUE READING

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