陈俊帆
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陈俊帆
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论文
Hypernym Discovery via a Recurrent Mapping Model
发布时间：2025-10-22点击次数：
发表刊物：
Findings of the Association for Computational Linguistics: ACL/IJCNLP (ACL Findings)
摘要：
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.
合写作者：
Yuhang Bai,张日崇, Fanshuang Kong,陈俊帆, Yongyi Mao
论文类型：
国际学术会议
页面范围：
2912--2921
是否译文：
否
发表时间：
2021-01-01