{"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/apollo-at-semeval-2018-task-9-detecting","title":"Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies","arxiv_id":null,"date":"2018-06-01","proceeding":"SEMEVAL 2018 6","authors":["Mihaela Onofrei","Ionu{\\textcommabelow{t}} Hulub","Tr","Diana ab{\\u{a}}{\\textcommabelow{t}}","Daniela G{\\^\\i}fu"],"abstract":"This paper presents the participation of Apollo{'}s team in the SemEval-2018 Task 9 {``}Hypernym Discovery{''}, Subtask 1: {``}General-Purpose Hypernym Discovery{''}, which tries to produce a ranked list of hypernyms for a specific term. We propose a novel approach for automatic extraction of hypernymy relations from a corpus by using dependency patterns. We estimated that the application of these patterns leads to a higher score than using the traditional lexical patterns.","url_abs":"https://aclanthology.org/S18-1146","url_pdf":"https://aclanthology.org/S18-1146.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":"hypernym-discovery","task_name":"Hypernym Discovery"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/hypernym-discovery-on-general","task":"Hypernym Discovery","dataset":"General","model":"Apollo","rank_in_archive_order":7,"of":8,"metrics":{"MAP":"2.68","MRR":"6.01","P@5":"2.69"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}