{"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/mittens-an-extension-of-glove-for-learning","title":"Mittens: An Extension of GloVe for Learning Domain-Specialized Representations","arxiv_id":"1803.09901","date":"2018-03-27","proceeding":"NAACL 2018 6","authors":["Nicholas Dingwall","Christopher Potts"],"abstract":"We present a simple extension of the GloVe representation learning model that\nbegins with general-purpose representations and updates them based on data from\na specialized domain. We show that the resulting representations can lead to\nfaster learning and better results on a variety of tasks.","url_abs":"http://arxiv.org/abs/1803.09901v1","url_pdf":"http://arxiv.org/pdf/1803.09901v1.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":"mittens-an-extension-of-glove-for-learning","repo_url":"https://github.com/roamanalytics/mittens","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"representation-learning","task_name":"Representation Learning"}],"methods":[{"method_slug":"glove","method_name":"GloVe"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}