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Table 3: 

Results on the Mewsli-9 dataset, by entity frequency in training. The support is slightly different because training data differ (i.e., the set of languages from Wikipedia is different).

BinBotha et al. (2020)mGENRE
SupportAcc.SupportAcc.
[0, 1) 3,198 8.0 1,244 22.1 
[1, 10) 6,564 58.0 5,777 47.3 
[10, 100) 32,371 80.0 28,406 77.3 
[100, 1k) 66,232 90.0 72,414 89.9 
[1k, 10k) 78,519 93.0 84,790 93.2 
[10k, +) 102,203 94.0 96,456 96.3 
 
micro-avg 289,087 89.0 289,087 90.6 
macro-avg – 70.0 – 71.0 
BinBotha et al. (2020)mGENRE
SupportAcc.SupportAcc.
[0, 1) 3,198 8.0 1,244 22.1 
[1, 10) 6,564 58.0 5,777 47.3 
[10, 100) 32,371 80.0 28,406 77.3 
[100, 1k) 66,232 90.0 72,414 89.9 
[1k, 10k) 78,519 93.0 84,790 93.2 
[10k, +) 102,203 94.0 96,456 96.3 
 
micro-avg 289,087 89.0 289,087 90.6 
macro-avg – 70.0 – 71.0 
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