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An Event Model Adapted for Analysis of Verb Sense in Natural Language

机译:一种适用于自然语言中的动词感的事件模型

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摘要

The verb and its dominated semantic elements constitute an event. The event is one of the basic elements constituting natural language. This paper tries to analyze the verb sense under the level of event. First, the relation of verb and event is analyzed, and an event model adapted for representing the event connotation, the extension and the relation between them is presented. Second, the knowledge of event in natural language is abstracted and classified based on the event model, the static event which described the abstract knowledge of event is given, and the dynamic event which described the verb-noun chunk in the environment of actual language is given too. Third, this knowledge is adapted for describing the verb-noun chunks, and the algorithm adapted for analysis of verb sense is given. Finally, the result of experiment shows that this proposed algorithm is feasible and effective.
机译:动词及其主导的语义元素构成了一个事件。该事件是构成自然语言的基本元素之一。本文试图分析事件水平下的动词感。首先,分析了动词和事件的关系,并且呈现了一种用于表示事件内涵,扩展和它们之间的关系的事件模型。其次,基于事件模型的自然语言中的事件的知识是由事件模型的抽象和分类,静态事件描述了对事件的抽象知识,以及描述了实际语言环境中的动词块的动态事件是给予。第三,这种知识适于描述动词名词块,并给出了适用于分析动词感的算法。最后,实验结果表明,这种提出的算法是可行和有效的。

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