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Hypernym Discovery is the task of identifying potential hypernyms for a given term. A hypernym is a more generalized word that is super-ordinate to more specific words. This paper explores several approaches that rely on co-occurrence frequencies of word pairs, Hearst Patterns based on regular expressions, and word embeddings created from the UMBC corpus. Our system Babbage participated in Subtask 1A for English and placed 6th of 19 systems when identifying concept hypernyms, and 12th of 18 systems for entity hypernyms.
[1] Wanxiang Che,et al. Learning Semantic Hierarchies via Word Embeddings , 2014, ACL.
[2] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[3] Horacio Saggion,et al. SemEval-2018 Task 9: Hypernym Discovery , 2018, *SEMEVAL.
[4] Jonathan Weese,et al. UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems , 2013, *SEMEVAL.
[5] Marti A. Hearst. Automatic Acquisition of Hyponyms from Large Text Corpora , 1992, COLING.