Abstract

The solution to the problem of automatically identifying and classifying information events in media texts is described based on the model of phraseological conceptual analysis of texts. The proposed solution is based on the use of previously developed methods for formalizing the semantic structure of sentences, as well as methods and algorithms for identifying fragments of media texts that describe information events. The developed algorithm implements the rules of C. Fillmore’s case grammar, which are based on the procedures of semantic–syntactic and conceptual analysis of texts.

中文翻译：

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媒体文本中信息事件的自动检测和分类

摘要

基于文本的短语概念分析模型，描述了对媒体文本中的信息事件进行自动识别和分类的问题的解决方案。所提出的解决方案是基于对先前开发的用于形式化句子语义结构的方法以及用于识别描述信息事件的媒体文本片段的方法和算法的使用。所开发的算法实现了C. Fillmore的格语法规则，该规则基于语义句法和文本概念分析的过程。