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LEXICO-SYNTACTIC CAUSAL PATTERN TEXT MINING

机译:词汇句法因果模式文本挖掘

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摘要

- The major aspect of text mining is to capture essential information in the text. Of particular information is the discovery of causality. In a text, causality comes in various forms or patterns. To understand the causal relations in the text, we first need to know which all causation patterns are present. The long term goal is to mine text for causal patterns. Our focus is on semi-automatic generation of causation patterns. The objective of this research is to understand the important information in the text that is in the form of causal relations. The central hypothesis of this research is that every causal relation can be expressed in the form a lexico-syntactic pattern. We have considered marked and explicit causations.
机译:-文本挖掘的主要方面是捕获文本中的基本信息。特别的信息是因果关系的发现。在文本中,因果关系有多种形式或模式。要了解文本中的因果关系,我们首先需要知道存在哪些所有因果模式。长期目标是为因果模式挖掘文本。我们的重点是因果关系模式的半自动生成。这项研究的目的是理解因果关系形式的文本中的重要信息。这项研究的中心假设是,每个因果关系都可以以词汇-句法模式的形式表达。我们已经考虑了明显和明确的因果关系。

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