Journal:Findings of the Association for Computational Linguistics: ACL/IJCNLP (ACL Findings)
Abstract:Hypernym discovery aims to identify all possible hypernyms of a given term. The most recent hypernym discovery models exploit multiple mapping functions to project a term to different semantic spaces and then aggregate these embeddings to a general representation for further classification. We refer to this model as a parallel style model. In this work, we observe that there are hierarchical relations between a target terms' hypernyms. However, these hierarchical relations were not sufficiently considered in the previous parallel style model. To leverage the hierarchical relations, we propose a sequential style model that recurrently maps the query words to their hypernyms, starting from the most specific ones to the less specific ones. Empirical studies on SemEval-2018 Task 9 confirm the effectiveness of the presented model.
Co-author:Yuhang Bai,Richong Zhang, Fanshuang Kong,Junfan Chen, Yongyi Mao
Indexed by:国际学术会议
Page Number:2912--2921
Translation or Not:no
Date of Publication:2021-01-01