The development of summarization systems requires reliable similarity (evaluation) mea- sures that compare system outputs with hu- man references.
In this paper, we propose an unsupervised method called Heterogeneity-Based Ranking (HBR) that combines summarization evaluation measures without requiring ...
The Heterogeneity Principle in Evaluation Measures for Automatic Summarization. Enrique Amigó | Julio Gonzalo | Felisa Verdejo |. Paper Details: Month: June
In this paper, we propose an unsupervised method called Heterogeneity-Based Ranking (HBR) that combines summarization evaluation measures without requiring ...
An Assessment of the Accuracy of Automatic Evaluation in Summarization. 1-9 ... The Heterogeneity Principle in Evaluation Measures for Automatic Summarization.
In this work, we propose the NPowER evaluation method based on machine learning and a set of methods from the family of “n-gram graph”-based summary evaluation ...
Jun 8, 2012 · The development of summarization systems requires reliable similarity (evaluation) measures that compare system outputs with human references. A ...
This paper describes a framework in which summary evaluation measures can be instantiated and compared, and implements a specific evaluation method using ...
This paper introduces the Unanimous Improvement Ratio (UIR), a measure that complements standard metric combination criteria (such as van Rijsbergen's F-measure) ...
An Assessment of the Accuracy of Automatic Evaluation in Summarization ... The Heterogeneity Principle in Evaluation Measures for Automatic Summarization.