Intended Boundaries Detection in Topic Change Tracking for Text Segmentation
Abstract
This paper propose a topical text segmentation method based on intended boundaries detection and compare it to a well known default boundaries detection method, c99. We ran the two methods on a corpus of twenty two French political discourses and results showed us that intended boundaries detection is better than default boundaries detection on well structured text.
Domains
Document and Text Processing| Origin | Files produced by the author(s) |
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