BriefGPT.xyz
Aug, 2016
最小领域知识下，从自然语言生成正则表达式的神经网络
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
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Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay
TL;DR
该研究旨在探索将自然语言查询翻译成代表它们含义的正则表达式的任务。为了充分发挥神经模型的潜力，该研究提出了一种收集大规模的正则表达式和自然语言对的方法，并通过该模型实现了比之前最先进模型提升了19.6%的性能。
Abstract
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 craf
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