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An approach to extraction of causal chains among events in multiple documents

机译:一种提取多个文档中事件之间因果链的方法

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摘要

In this paper, we aim to extract causal relations in multiple documents and then overlook the whole causal chains among the events described in the documents. In order to extract causal relations from documents, we focus on the words recognized as clue expressions for causal relations. By connecting multiple causal relations to make a network of the causal chains, we have introduced matching methods based on word similarity and topic similarity. We have verified our proposed method is useful for extracting causal chains from actual newspaper articles.
机译:在本文中,我们旨在提取多个文档中的因果关系,然后忽略文档中描述的事件之间的整个因果链。为了从文档中提取因果关系,我们集中在被认为是因果关系的线索表达的单词上。通过连接多个因果关系以建立因果链网络,我们引入了基于词相似度和主题相似度的匹配方法。我们已经验证了我们提出的方法可用于从实际报纸文章中提取因果链。

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