{"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/discriminative-predicate-path-mining-for-fact","title":"Discriminative Predicate Path Mining for Fact Checking in Knowledge Graphs","arxiv_id":"1510.05911","date":"2015-10-20","proceeding":null,"authors":["Baoxu Shi","Tim Weninger"],"abstract":"Traditional fact checking by experts and analysts cannot keep pace with the\nvolume of newly created information. It is important and necessary, therefore,\nto enhance our ability to computationally determine whether some statement of\nfact is true or false. We view this problem as a link-prediction task in a\nknowledge graph, and present a discriminative path-based method for fact\nchecking in knowledge graphs that incorporates connectivity, type information,\nand predicate interactions. Given a statement S of the form (subject,\npredicate, object), for example, (Chicago, capitalOf, Illinois), our approach\nmines discriminative paths that alternatively define the generalized statement\n(U.S. city, predicate, U.S. state) and uses the mined rules to evaluate the\nveracity of statement S. We evaluate our approach by examining thousands of\nclaims related to history, geography, biology, and politics using a public,\nmillion node knowledge graph extracted from Wikipedia and PubMedDB. Not only\ndoes our approach significantly outperform related models, we also find that\nthe discriminative predicate path model is easily interpretable and provides\nsensible reasons for the final determination.","url_abs":"http://arxiv.org/abs/1510.05911v2","url_pdf":"http://arxiv.org/pdf/1510.05911v2.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":"discriminative-predicate-path-mining-for-fact","repo_url":"https://github.com/nddsg/KGMiner","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"fact-checking","task_name":"Fact Checking"},{"task_slug":"knowledge-graphs","task_name":"Knowledge Graphs"},{"task_slug":"link-prediction","task_name":"Link Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1510.05911","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}