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NAACL
2004
13 years 5 months ago
Evaluating Content Selection in Summarization: The Pyramid Method
We present an empirically grounded method for evaluating content selection in summarization. It incorporates the idea that no single best model summary for a collection of documen...
Ani Nenkova, Rebecca J. Passonneau
EMNLP
2009
13 years 2 months ago
Automatically Evaluating Content Selection in Summarization without Human Models
We present a fully automatic method for content selection evaluation in summarization that does not require the creation of human model summaries. Our work capitalizes on the assu...
Annie Louis, Ani Nenkova
ACL
2007
13 years 5 months ago
Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data
This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be included in a queryfocused summary. Several SVMs are trained using information fr...
María Fuentes Fort, Enrique Alfonseca, Hora...
COLING
2010
12 years 11 months ago
Learning Summary Content Units with Topic Modeling
In the field of multi-document summarization, the Pyramid method has become an important approach for evaluating machine-generated summaries. The method is based on the manual ann...
Leonhard Hennig, Ernesto William De Luca, Sahin Al...
NLE
2010
100views more  NLE 2010»
13 years 2 months ago
Formal and functional assessment of the pyramid method for summary content evaluation
Pyramid annotation makes it possible to evaluate quantitatively and qualitatively the content of machine-generated (or human) summaries. Evaluation methods must prove themselves a...
Rebecca J. Passonneau