{"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/unsupervised-keyphrase-extraction-with","title":"Unsupervised Keyphrase Extraction with Multipartite Graphs","arxiv_id":"1803.08721","date":"2018-03-23","proceeding":"NAACL 2018 6","authors":["Florian Boudin"],"abstract":"We propose an unsupervised keyphrase extraction model that encodes topical\ninformation within a multipartite graph structure. Our model represents\nkeyphrase candidates and topics in a single graph and exploits their mutually\nreinforcing relationship to improve candidate ranking. We further introduce a\nnovel mechanism to incorporate keyphrase selection preferences into the model.\nExperiments conducted on three widely used datasets show significant\nimprovements over state-of-the-art graph-based models.","url_abs":"http://arxiv.org/abs/1803.08721v2","url_pdf":"http://arxiv.org/pdf/1803.08721v2.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":"unsupervised-keyphrase-extraction-with","repo_url":"https://github.com/boudinfl/pke","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"keyphrase-extraction","task_name":"Keyphrase Extraction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1803.08721","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}