{"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/bomji-at-semeval-2018-task-10-combining","title":"BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes","arxiv_id":"1804.11251","date":"2018-04-30","proceeding":"SEMEVAL 2018 6","authors":["Enrico Santus","Chris Biemann","Emmanuele Chersoni"],"abstract":"This paper describes BomJi, a supervised system for capturing discriminative\nattributes in word pairs (e.g. yellow as discriminative for banana over\nwatermelon). The system relies on an XGB classifier trained on carefully\nengineered graph-, pattern- and word embedding based features. It participated\nin the SemEval- 2018 Task 10 on Capturing Discriminative Attributes, achieving\nan F1 score of 0:73 and ranking 2nd out of 26 participant systems.","url_abs":"http://arxiv.org/abs/1804.11251v1","url_pdf":"http://arxiv.org/pdf/1804.11251v1.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":[],"tasks":[{"task_slug":"relation-extraction","task_name":"Relation Extraction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/relation-extraction-on-semeval-2018-task-10","task":"Relation Extraction","dataset":"SemEval 2018 Task 10","model":"Gradient boosting with co-occurrence count features and JoBimText features","rank_in_archive_order":3,"of":6,"metrics":{"F1-Score":"0.73"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}