UMDuluth-CS8761 at SemEval-2018 Task 9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings

Autor:	Hassan, Arshia Z., Vallabhajosyula, Manikya S., Pedersen, Ted
Rok vydání:	2018
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: 5 pages, to Appear in the Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval 2018), June 2018, New Orleans, LA
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1805.10271 Zobrazit plný text záznamu View this record from Arxiv