FG-1-PG-1
1 papers with code • 3 benchmarks • 4 datasets
The model learns one entity in the first step (no continuous learning is required), and learns one new entity in each subsequent continuous learning step.
Benchmarks
These leaderboards are used to track progress in FG-1-PG-1
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CoNLL 2003
Most implemented papers
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition
zzz47zzz/CFNER
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Thanks to the causal inference, we identify that the forgetting is caused by the missing causal effect from the old data.
