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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