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基于语境相似度的中文分词一致性检验研究
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基于语境相似度的中文分词一致性检验研究
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Journal Article
基于语境相似度的中文分词一致性检验研究
2022
Overview
提出一种基于语境相似度的中文分词一致性检验方法.首先利用词法和句法层面的特征,设计基于构词、词性和依存句法的分类规则,再使用预训练词向量,对不一致字串所在语境的语义信息进行编码,通过语境间的语义相似度对不一致字串进行分类.在人工构建的36万字分词语料库中进行分词一致性检验,结果表明该方法能够有效地提高中文分词一致性检验的准确率.进一步地,使用3种主流中文分词模型在修正一致性后的分词语料中重新训练和测试,结果表明该方法可以有效地提高分词语料库的质量,3种中文分词模型的F1值分别提高1.18％,1.25％和1.04％.
Publisher
大连理工大学计算机科学与技术学院, 大连 116023
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