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Group-Intelligence Construction of Linguistic-Humanity KG in Chinese Verses

机译:汉语诗歌中人文KG语言的群体智能建构

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摘要

Unlike the instrumental need of language, linguistic humanity of language means that languae, like Chinese verses, always show certain emotion, reflect attitude toward thing and convey creator's characters. To model and visualize such complicated and cross Humanism, Knowledge Graph(KG) is modified to adapt the full-relation Chinese verses and leading-in friendly visualization. Different from conventional Ml or rule-based construction, we adopt the group-intelligence construction with entity adding task, linking adding task and knowledge triple validation task to constructe the KG by alocating task destributed model. While using group-intelligence construction may lead to multi-answer and irrelevant-answer case, socring mechanism with user-consideration and group-consideration is definded. This research shows construction based on the group intelligence can optimize the KG and represent different congnize of Chinese Verses.
机译:与语言的工具性需求不同,语言的语言人性意味着像中国诗歌一样,语言总是表现出一定的情感,反映出对事物的态度并传达了创作者的性格。为了建模和可视化这种复杂而又交叉的人文主义,对知识图谱(KG)进行了修改,以适应完整关系的汉语经文并引入友好的可视化效果。与常规的M1或基于规则的构造不同,我们采用具有实体添加任务,链接添加任务和知识三重验证任务的组智能构造,通过定位任务分布模型来构造KG。虽然使用组智能构造可能会导致出现多答案和不相关答案的情况,但定义了具有用户考虑和群体考虑的征集机制。这项研究表明,基于群体智能的构建可以优化KG,并代表不同的汉语诗歌理解。

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