{"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/graph-based-semi-supervised-conditional","title":"Graph-Based Semi-Supervised Conditional Random Fields For Spoken Language Understanding Using Unaligned Data","arxiv_id":"1701.08533","date":"2017-01-30","proceeding":"ALTA 2014 11","authors":["Mohammad Aliannejadi","Masoud Kiaeeha","Shahram Khadivi","Saeed Shiry Ghidary"],"abstract":"We experiment graph-based Semi-Supervised Learning (SSL) of Conditional\nRandom Fields (CRF) for the application of Spoken Language Understanding (SLU)\non unaligned data. The aligned labels for examples are obtained using IBM\nModel. We adapt a baseline semi-supervised CRF by defining new feature set and\naltering the label propagation algorithm. Our results demonstrate that our\nproposed approach significantly improves the performance of the supervised\nmodel by utilizing the knowledge gained from the graph.","url_abs":"http://arxiv.org/abs/1701.08533v1","url_pdf":"http://arxiv.org/pdf/1701.08533v1.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":"graph-based-semi-supervised-conditional","repo_url":"https://github.com/maxxkia/g-ssl-crf","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"spoken-language-understanding","task_name":"Spoken Language Understanding"}],"methods":[{"method_slug":"crf","method_name":"CRF"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}