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Formal and functional assessment of the pyramid method for summary content evaluation*

Published online by Cambridge University Press:  06 April 2009

REBECCA J. PASSONNEAU
REBECCA J. PASSONNEAU*
Affiliation:
Center for Computational Learning Systems, Columbia University, NY 10115, USA e-mail: becky@cs.columbia.edu
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Abstract

Pyramid annotation makes it possible to evaluate quantitatively and qualitatively the content of machine-generated (or human) summaries. Evaluation methods must prove themselves against the same measuring stick – evaluation – as other research methods. First, a formal assessment of pyramid data from the 2003 Document Understanding Conference (DUC) is presented; this addresses whether the form of annotation is reliable and whether score results are consistent across annotators. A combination of interannotator reliability measures of the two manual annotation phases (pyramid creation and annotation of system peer summaries against pyramid models), and significance tests of the similarity of system scores from distinct annotations, produces highly reliable results. The most rigorous test consists of a comparison of peer system rankings produced from two independent sets of pyramid and peer annotations, which produce essentially the same rankings. Three years of DUC data (2003, 2005, 2006) are used to assess the reliability of the method across distinct evaluation settings: distinct systems, document sets, summary lengths, and numbers of model summaries. This functional assessment addresses the method's ability to discriminate systems across years. Results indicate that the statistical power of the method is more than sufficient to identify statistically significant differences among systems, and that the statistical power varies little across the 3 years.

Type
Papers
Information
Natural Language Engineering , Volume 16 , Issue 2 , April 2010 , pp. 107 - 131
Copyright
Copyright © Cambridge University Press 2009

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