用于文档理解的基于SPN的方法

N. Bourbakis, B. Manaris
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引用次数: 7

摘要

本文提出了一种文档处理和理解的方法。该方法假设文本段落已经从文本图像中分离出来,并且必要的相互关系是为了可能重建原始页面。每一行文本都是自然语言文本,需要对其进行分析,以有助于文本理解。该分析基于随机Petri网(SPNs)对自然语言文本的形式化表示和处理。文本理解是基于对SPN形式的语义分析/综合,以获得适当的解释。这些解释与图像描述和/或从图像中提取的对象相结合,有助于文档理解。
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An SPN based methodology for document understanding
The paper presents a methodology for document processing and understanding. The methodology assumes that text paragraphs have been separated from the text images and that the necessary interrelationships are for a possible reconstruction of the original page. Each text line forms a natural language text which requires analysis in order to contribute to text understanding. The analysis is based on the formal representation and processing of natural language text by using stochastic Petri nets (SPNs). Text understanding is based on the semantic analysis/synthesis of SPN forms for the appropriate interpretations. These interpretations in combinations with image descriptions and/or objects extracted from images contribute to document understanding.
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