2018/05/25 by Arshia Z. Hassan, Arshia Zernab Hassan, Manikya S. Vallabhajosyula +5
Arts and Humanities · Computer Science · Engineering · #Artificial intelligence #Computation and Language (cs.CL) #Computer science #Engineering #FOS: Computer and information sciences #Lexicography and Language Studies #Linguistics #Natural Language Processing Techniques #Natural language processing #Philosophy #SemEval #Task (project management) #Word (group theory) #cs.CL #linguistics and terminology studies
paper · pdf · doi:10.48550/arxiv.1805.10271
5 pages, to Appear in the Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval 2018), June 2018, New Orleans, LA
arxiv created 2018/05/25 · openalex publication_date 2018/05/25 · arxiv updated 2018/05/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Hypernym Discovery is the task of identifying potential hypernyms for a given\nterm. A hypernym is a more generalized word that is super-ordinate to more\nspecific words. This paper explores several approaches that rely on\nco-occurrence frequencies of word pairs, Hearst Patterns based on regular\nexpressions, and word embeddings created from the UMBC corpus. Our system\nBabbage participated in Subtask 1A for English and placed 6th of 19 systems\nwhen identifying concept hypernyms, and 12th of 18 systems for entity\nhypernyms.\n