https://scholars.lib.ntu.edu.tw/handle/123456789/634907
標題: | On generalization of the sense retrofitting model | 作者: | Lee, Yang Yin Yen, Ting Yu Huang, Hen Hsen Shiue, Yow Ting HSIN-HSI CHEN |
關鍵字: | Generalization | Retrofitting | Semantic relatedness | Sense embedding | 公開日期: | 31-七月-2023 | 卷: | 29 | 期: | 4 | 來源出版物: | Natural Language Engineering | 摘要: | With the aid of recently proposed word embedding algorithms, the study of semantic relatedness has progressed rapidly. However, word-level representations are still lacking for many natural language processing tasks. Various sense-level embedding learning algorithms have been proposed to address this issue. In this paper, we present a generalized model derived from existing sense retrofitting models. In this generalization, we take into account semantic relations between the senses, relation strength, and semantic strength. Experimental results show that the generalized model outperforms previous approaches on four tasks: semantic relatedness, contextual word similarity, semantic difference, and synonym selection. Based on the generalized sense retrofitting model, we also propose a standardization process on the dimensions with four settings, a neighbor expansion process from the nearest neighbors, and combinations of these two approaches. Finally, we propose a Procrustes analysis approach that inspired from bilingual mapping models for learning representations that outside of the ontology. The experimental results show the advantages of these approaches on semantic relatedness tasks. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/634907 | ISSN: | 13513249 | DOI: | 10.1017/S1351324922000523 |
顯示於: | 資訊工程學系 |
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