Older versions of the ROUGEeval summarization evaluation system were easier to fool
J Sjöbergh - Information Processing & Management, 2007 - Elsevier
We show some limitations of the ROUGE evaluation method for automatic summarization.
We present a method for automatic summarization based on a Markov model of the source
text. By a simple greedy word selection strategy, summaries with high ROUGE-scores are
generated. These summaries would however not be considered good by human readers.
The method can be adapted to trick different settings of the ROUGEeval package.
We present a method for automatic summarization based on a Markov model of the source
text. By a simple greedy word selection strategy, summaries with high ROUGE-scores are
generated. These summaries would however not be considered good by human readers.
The method can be adapted to trick different settings of the ROUGEeval package.
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