Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

This paper explores the task of translating natural language queries into regular expressions which embody their meaning. In contrast to prior work, the proposed neural model does not utilize domain-specific crafting, learning to translate directly from a parallel corpus. To fully explore the poten...

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Bibliographic Details
Main Authors: Locascio, Nicholas (Nicholas J.), Narasimhan, Karthik Rajagopal, De Leon, Eduardo, Kushman, Nate, Barzilay, Regina
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Association for Computational Linguistics (ACL) 2020
Online Access:https://hdl.handle.net/1721.1/128768

Internet

https://hdl.handle.net/1721.1/128768

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