Publication details
Text Segmentation Using Context Overlap
| Authors | |
|---|---|
| Year of publication | 2007 |
| Type | Article in Periodical |
| Magazine / Source | Progress in Artificial Intelligence |
| MU Faculty or unit | |
| Citation | |
| Web | http://www.springerlink.com/content/k820g107h7067383/?p=9cc314a6a70b4ca286722b609e097494&pi=0 |
| Field | Informatics |
| Keywords | text segmentation; LSI; latent semantic indexing |
| Description | In this paper we propose features desirable of linear text segmentation algorithms for the Information Retrieval domain, with emphasis on improving high similarity search of heterogeneous texts. We proceed to describe a robust purely statistical method, based on context overlap exploitation, that exhibits these desired features. Experimental results are presented, along with comparison to other existing algorithms. |
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