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Automatic text decomposition and structuring
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DOI：10.1016/S0306-4573(96)85001-1.png)
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Abstract
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Sophisticated text similarity measurements are used to determine relationships between natural-language texts and text excerpts. The resulting linked hypertext maps can be decomposed into text segments and text themes, and these decompositions are usable to identify different text types and text structures, leading to improved text access and utilization. Examples of text decomposition are given for expository and non-expository texts.
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