研究论文

新闻文本中事件语义表示

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  • 上海大学 计算机工程与科学学院, 上海 200444

收稿日期: 2017-06-27

  网络出版日期: 2019-10-31

基金资助

国家自然科学基金资助项目(61305053);国家自然科学基金资助项目(61273328)

Event semantic representation for news texts

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  • School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China

Received date: 2017-06-27

  Online published: 2019-10-31

摘要

事件是比"概念"粒度更大的知识表示单元, 更符合人类的认识过程. 事件作为新闻文本的知识单元, 结合新戴维森事件语义和 6 要素事件模型, 给出了一个新的事件形式化表示方法; 扩展不同的操作算子给出了修饰事件要素的模糊信息、对象、时态与环境的形式化表示方法; 使用描述逻辑方法描述了事件对象要素中的概念, 给出了新闻文本中 事件关系形式化的表示方法. 实例表明, 该方法能够较好地表示新闻文本中的事件语义.

本文引用格式

王先传, 刘宗田 . 新闻文本中事件语义表示[J]. 上海大学学报(自然科学版), 2019 , 25(5) : 733 -741 . DOI: 10.12066/j.issn.1007-2861.1989

Abstract

Event, as a larger knowledge unit than "concept", is more consistent with human understanding process. Treating event as the core knowledge unit in news texts and applying the Neo-Davidsonian event semantic and 6-tuple event model theory, this paper proposes a new strategy for event representation. It is suggested that by extending some operators the action, object, tense and environment of the event and all the other fuzzy information modifying the event become known. And with the employment of the description logic method, the features of the news object in the event and event relations are represented effectively. The given instances indicate that this approach is good and effective for representing events and event relations in news texts.

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