News of Atomic Events Time Sequence Relationship Recognition Based on Function Word and Predicate Co-occurrence

Yikai Gao, Maofu Liu, Xiangdong Luo, He Zhang
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引用次数: 1

Abstract

The temporal relation commonly exists in the concepts of events and it is a kind of natural connection among the information unit. It proposes a kind of temporal relation recognition of news events based on the co-occurrence of functional word and predicate for the news corpus in this paper. On the basis of extraction of news atomic events and excavation of determinants of temporal relations, construct the co-occurrence relation network of semantic knowledge base and verb sequence so as to build semantic temporal relation rule base for the recognition of temporal relation among news atomic events. The experimental result reveals that the temporal relation recognition of news atomic events based on the co-occurrence of functional word and predicate.
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基于功能词与谓词共现的原子事件时间序列关系识别
时间关系普遍存在于事件概念中,是信息单元之间的一种自然联系。针对新闻语料库,提出了一种基于虚词和谓词共现的新闻事件时态关系识别方法。在提取新闻原子事件和挖掘时间关系决定因素的基础上,构建语义知识库与动词序列共现关系网络,建立语义时间关系规则库,实现新闻原子事件间时间关系的识别。实验结果表明,新闻原子事件的时间关系识别是基于功能词和谓词的共现。
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