Segmentation of Expository Texts by Hierarchical Agglomerative Clustering

Details Segmentation of Expository Texts by Hierarchical Agglomerative Clustering Segmentation of Expository Texts by Hierarchical Agglomerative Clustering

1997-09-26

arxiv.org/abs/cmp-lg/9709015v1

RANLP'97, Bulgaria

Computer Science

Computation and Language

7 pages, Latex2e, 4 postscript figures

Scientific paper

We propose a method for segmentation of expository texts based on hierarchical agglomerative clustering. The method uses paragraphs as the basic segments for identifying hierarchical discourse structure in the text, applying lexical similarity between them as the proximity test. Linear segmentation can be induced from the identified structure through application of two simple rules. However the hierarchy can be used also for intelligent exploration of the text. The proposed segmentation algorithm is evaluated against an accepted linear segmentation method and shows comparable results.

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