{"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/automates-automated-model-assembly-from-text","title":"AutoMATES: Automated Model Assembly from Text, Equations, and Software","arxiv_id":"2001.07295","date":"2020-01-21","proceeding":null,"authors":["Adarsh Pyarelal","Marco A. Valenzuela-Escarcega","Rebecca Sharp","Paul D. Hein","Jon Stephens","Pratik Bhandari","HeuiChan Lim","Saumya Debray","Clayton T. Morrison"],"abstract":"Models of complicated systems can be represented in different ways - in scientific papers, they are represented using natural language text as well as equations. But to be of real use, they must also be implemented as software, thus making code a third form of representing models. We introduce the AutoMATES project, which aims to build semantically-rich unified representations of models from scientific code and publications to facilitate the integration of computational models from different domains and allow for modeling large, complicated systems that span multiple domains and levels of abstraction.","url_abs":"https://arxiv.org/abs/2001.07295v1","url_pdf":"https://arxiv.org/pdf/2001.07295v1.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":"automates-automated-model-assembly-from-text","repo_url":"https://github.com/ml4ai/automates","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}