2002 ACritiqueandImprovementofAnEval
Jump to navigation
Jump to search
- (Pevzner & Hearst, 2002) ⇒ Lev Pevzner, and Marti A. Hearst. (2002). “A Critique and Improvement of An Evaluation Metric for Text Segmentation.” In: Computational Linguistics, 28(1). doi:10.1162/089120102317341756
Subject Headings: Window Diff, Pk Metric.
Notes
Cited By
Quotes
Abstract
The Pk evaluation metric, initially proposed by Beeferman, Berger, and Lafferty (1997), is becoming the standard measure for assessing text segmentation algorithms. However, a theoretical analysis of the metric finds several problems: the metric penalizes false negatives more heavily than false positives, overpenalizes near misses, and is affected by variation in segment size distribution. We propose a simple modification to the Pk metric that remedies these problems. This new metric — called Window Diff — moves a fixed-sized window across the text and penalizes the algorithm whenever the number of boundaries within the window does not match the true number of boundaries for that window of text.
References
;
Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
---|---|---|---|---|---|---|---|---|---|---|
2002 ACritiqueandImprovementofAnEval | Marti Hearst Lev Pevzner | A Critique and Improvement of An Evaluation Metric for Text Segmentation | 10.1162/089120102317341756 | 2002 |