Effective Use of Japanese Dictionary Definition Sentences in Learning Hierarchical Embedding of Dictionaries
Effective Use of Japanese Dictionary Definition Sentences in Learning Hierarchical Embedding of Dictionaries
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发表时间：
2022
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通讯作者：
Yuki Ishii;Minoru Sasaki
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作者：
Yuki Ishii;Minoru Sasaki
现有的基于知识图的词义消歧学习方法使用词与词之间的关系来学习模型，但没有使用单个词中词义的层次关系来学习。此外，即使在应用日语词典中的定义句子时，判断词义的层次关系的准确性也很差，并且不能完全实现知识图嵌入学习的效果。本研究分析了如何编辑词典描述，以提高判断日语词典中的意义之间的层次关系的模型的准确性。分析结果表明，未经编辑的词典的准确率为60.9%，而编辑后的词典的准确率为83.3%，证实了模型的改进性能。
Existing knowledge graph-based learning methods for word sense disambiguation use word-to-word relations to learn models, but do not learn using the hierarchical relations of word senses in a single word. In addition, even when defining sentences in a Japanese dictionary are applied, the accuracy of judging the hierarchical relationship of word senses is poor, and the effect of knowledge graph embedding learning is not fully achieved. This study analyzes how to edit dictionary descriptions to improve the accuracy of models that judge the hierarchical relationship between senses in a Japanese dictionary. The results of the analysis showed that the accuracy of the unedited dictionary was 60.9%, while the accuracy of the edited dictionary was 83.3%, confirming the improved performance of the model.