{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/neural-generation-of-regular-expressions-from","title":"Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge","arxiv_id":"1608.03000","date":"2016-08-09","proceeding":"EMNLP 2016 11","authors":["Nicholas Locascio","Karthik Narasimhan","Eduardo DeLeon","Nate Kushman","Regina Barzilay"],"abstract":"This paper explores the task of translating natural language queries into\nregular expressions which embody their meaning. In contrast to prior work, the\nproposed neural model does not utilize domain-specific crafting, learning to\ntranslate directly from a parallel corpus. To fully explore the potential of\nneural models, we propose a methodology for collecting a large corpus of\nregular expression, natural language pairs. Our resulting model achieves a\nperformance gain of 19.6% over previous state-of-the-art models.","url_abs":"http://arxiv.org/abs/1608.03000v1","url_pdf":"http://arxiv.org/pdf/1608.03000v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"neural-generation-of-regular-expressions-from","repo_url":"https://github.com/nicholaslocascio/deep-regex","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"torch","reach":null},{"paper_slug":"neural-generation-of-regular-expressions-from","repo_url":"https://github.com/xiye17/torchASN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"natural-language-queries","task_name":"Natural Language Queries"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1608.03000","atlas_url":"https://app.syntology.ai/?focus=1608.03000","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}