Layout and language: exploring text block discovery in tables using linguistic resources

Matthew F. Hurst
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引用次数: 4

Abstract

Identifying the textual content of table cells requires, in part, the successful resolution of ambiguities confusing multi-row cells and single-row cells, as well as the resolution of other layout based ambiguities. This paper investigates the application of linguistic resources to this problem and discusses algorithms that exploit both phrasal dictionaries and bigram language models for discovering the content of cells in flat text files.
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布局和语言:利用语言资源探索表格中的文本块发现
识别表格单元格的文本内容在一定程度上需要成功地解决混淆多行单元格和单行单元格的歧义,以及解决其他基于布局的歧义。本文研究了语言资源在这一问题上的应用,并讨论了利用短语字典和二元语言模型来发现平面文本文件中单元格内容的算法。
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