{"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/leveraging-text-and-knowledge-bases-for","title":"Leveraging Text and Knowledge Bases for Triple Scoring: An Ensemble Approach - The BOKCHOY Triple Scorer at WSDM Cup 2017","arxiv_id":"1712.08356","date":"2017-12-22","proceeding":null,"authors":["Ding Boyang  Chinese Academy of Sciences","Wang Quan  Chinese Academy of Sciences","Wang Bin  Chinese Academy of Sciences"],"abstract":"We present our winning solution for the WSDM Cup 2017 triple scoring task. We\ndevise an ensemble of four base scorers, so as to leverage the power of both\ntext and knowledge bases for that task. Then we further refine the outputs of\nthe ensemble by trigger word detection, achieving even better predictive\naccuracy. The code is available at https://github.com/wsdm-cup-2017/bokchoy.","url_abs":"http://arxiv.org/abs/1712.08356v1","url_pdf":"http://arxiv.org/pdf/1712.08356v1.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":"leveraging-text-and-knowledge-bases-for","repo_url":"https://github.com/wsdm-cup-2017/bokchoy","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"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}