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gptkbp:instanceOf
|
evaluation metric
|
|
gptkbp:abbreviation
|
gptkb:Recall-Oriented_Understudy_for_Gisting_Evaluation
|
|
gptkbp:commonIn
|
NLP research
text summarization competitions
|
|
gptkbp:creator
|
gptkb:Chin-Yew_Lin
|
|
gptkbp:criticizedFor
|
favoring extractive summaries
not capturing semantic similarity
|
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gptkbp:hasVariant
|
gptkb:ROUGE-L
ROUGE-1
ROUGE-2
ROUGE-SU4
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
ROUGE metrics
|
|
gptkbp:implementedIn
|
gptkb:Java
gptkb:Perl
gptkb:Python
|
|
gptkbp:includes
|
gptkb:ROUGE-L
gptkb:ROUGE-N
gptkb:ROUGE-S
gptkb:ROUGE-W
|
|
gptkbp:introducedIn
|
2004
|
|
gptkbp:measures
|
precision
recall
F1-score
overlap between generated and reference texts
|
|
gptkbp:officialImplementation
|
ROUGE-1.5.5.pl
|
|
gptkbp:publishedIn
|
Proceedings of ACL 2004
|
|
gptkbp:relatedTo
|
gptkb:BLEU_metric
gptkb:METEOR_metric
|
|
gptkbp:ROUGE-L
|
longest common subsequence
|
|
gptkbp:ROUGE-N
|
n-gram overlap
|
|
gptkbp:ROUGE-S
|
skip-bigram overlap
|
|
gptkbp:ROUGE-W
|
weighted longest common subsequence
|
|
gptkbp:usedBy
|
gptkb:researchers
industry practitioners
|
|
gptkbp:usedFor
|
automatic summarization evaluation
machine translation evaluation
|
|
gptkbp:bfsParent
|
gptkb:ROUGE-N
gptkb:ROUGE-S
gptkb:ROUGE-W
|
|
gptkbp:bfsLayer
|
7
|