{"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/path-based-vs-distributional-information-in","title":"Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations","arxiv_id":"1608.05014","date":"2016-08-17","proceeding":"WS 2016 12","authors":["Vered Shwartz","Ido Dagan"],"abstract":"Recognizing various semantic relations between terms is beneficial for many\nNLP tasks. While path-based and distributional information sources are\nconsidered complementary for this task, the superior results the latter showed\nrecently suggested that the former's contribution might have become obsolete.\nWe follow the recent success of an integrated neural method for hypernymy\ndetection (Shwartz et al., 2016) and extend it to recognize multiple relations.\nThe empirical results show that this method is effective in the multiclass\nsetting as well. We further show that the path-based information source always\ncontributes to the classification, and analyze the cases in which it mostly\ncomplements the distributional information.","url_abs":"http://arxiv.org/abs/1608.05014v4","url_pdf":"http://arxiv.org/pdf/1608.05014v4.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":"path-based-vs-distributional-information-in","repo_url":"https://github.com/vered1986/LexNET","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1608.05014","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}