{"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/luminoso-at-semeval-2018-task-10","title":"Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge","arxiv_id":"1806.01733","date":"2018-06-05","proceeding":"SEMEVAL 2018 6","authors":["Robyn Speer","Joanna Lowry-Duda"],"abstract":"Luminoso participated in the SemEval 2018 task on \"Capturing Discriminative\nAttributes\" with a system based on ConceptNet, an open knowledge graph focused\non general knowledge. In this paper, we describe how we trained a linear\nclassifier on a small number of semantically-informed features to achieve an\n$F_1$ score of 0.7368 on the task, close to the task's high score of 0.75.","url_abs":"http://arxiv.org/abs/1806.01733v2","url_pdf":"http://arxiv.org/pdf/1806.01733v2.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":"luminoso-at-semeval-2018-task-10","repo_url":"https://github.com/LuminosoInsight/semeval-discriminatt","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"general-knowledge","task_name":"General Knowledge"},{"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":"SVM with ConceptNet, Wikipedia articles and WordNet synonyms","rank_in_archive_order":2,"of":6,"metrics":{"F1-Score":"0.74"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}