(2016) proposed the Deep-Regex model based on Seq2Seq for generating regular expressions from natural language descriptions together with a dataset of 10,000 NL-RX pairs.
due to the limitations of the standard Seq2Seq model, the Deep-Regex model can only generate regular expressions similar in shape to the training data.