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NAACL
2004
13 years 10 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
NORDICHI
2006
ACM
14 years 2 months ago
An empirical evaluation of undo mechanisms
While various models of undo have been proposed over the years, no empirical study has yet been done to discover which model of undo most closely aligns with what users expect an ...
Aaron G. Cass, Chris S. T. Fernandes, Andrew Polid...
PDCN
2004
13 years 10 months ago
Selective inline expansion for improvement of multi grain parallelism
This paper proposes a selective procedure inlining scheme to improve a multi-grain parallelism, which hierarchically exploits the coarse grain task parallelism among loops, subrou...
Jun Shirako, Kouhei Nagasawa, Kazuhisa Ishizaka, M...
CLEF
2008
Springer
13 years 10 months ago
On the Evaluation of Snippet Selection for WebCLEF
WebCLEF is about supporting a user who is an expert in writing a survey article on a specific topic with a clear goal and audience by generating a ranked list with relevant snippet...
Arnold Overwijk, Dong Nguyen, Claudia Hauff, Dolf ...
ISCIS
2009
Springer
14 years 3 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj