Location of Repository

Using Semantic Unification to Generate Regular Expressions from Natural Language

By Nate Kushman and Regina Barzilay

Abstract

We consider the problem of translating natural language text queries into regular expressions which represent their meaning. The mismatch in the level of abstraction between the natural language representation and the regular expression representation make this a novel and challenging problem. However, a given regular expression can be written in many semantically equivalent forms, and we exploit this flexibility to facilitate translation by finding a form which more directly corresponds to the natural language. We evaluate our technique on a set of natural language queries and their associated regular expressions which we gathered from Amazon Mechanical Turk. Our model substantially outperforms a stateof-the-art semantic parsing baseline, yielding a 29 % absolute improvement in accuracy. 1

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.359.9250
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://people.csail.mit.edu/nk... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.