Better Metrics to Automatically Predict the Quality of a Text Summary

In this paper we demonstrate a family of metrics for estimating the quality of a text summary relative to one or more human-generated summaries. The improved metrics are based on features automatically computed from the summaries to measure content and linguistic quality. The features are combined u...

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Bibliographic Details
Main Authors: Judith D. Schlesinger, John M. Conroy, Peter A. Rankel
Format: Article
Language:English
Published: MDPI AG 2012-09-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/5/4/398