... Fluorescence tagging 荧光标记法 ; 光标记法 Active Tagging 主动标记 Semantics Tagging 词义标注 ...
基于8个网页-相关网页
...综合性文献数据库 -维普资讯 关键词: 词义标注 无指导学习算法 单纯贝叶斯模型 依存文法[gap=1083]Key words: Sense tagging, unsupervised learning algorithm, naive Bayesian model, dependency grammar..
基于6个网页-相关网页
·2,447,543篇论文数据，部分数据来源于NoteExpress
试验表明，该平台对汉语词义标注的研究是有用的。
The experiment shows that this software platform is useful for Chinese word sense tagging research.
其优点在于两个方面：1不受词义标注语料库规模的影响；2对特定词语意义的消歧准确率可达到100%。
The striking advantages of the feature-based approach are 1 it is not influenced by the data size, and 2 it can disambiguate some specific words with precision of 100%.
该语义分析集成系统能够自动分析句子中各个词的词义以及词之间的语义依存关系，达到90.85%的词义标注正确率和75.84%的语义依存结构标注正确率。
The semantic analysis system can automatically tag semantic class for each word and analyze the semantic dependency structure between words with the precision of 90.85% and 75.84% respectively.
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