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Implementation of Weighted CRF Tagger (handling unbalanced datasets) #341
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Closes allennlp issue #4619.
Depends on allennlp PR #5676
Changes proposed in this pull request:
label_weights
andweight_strategy
.label_weights
is aDict[str, float]
with a mapping {label : weight} to be used in the loss function in order to give different weights for each token depending on its label.weight_strategy
can be:None
'emission'
,'emission_transition'
or'lannoy'
.label_weights
is given andweight_strategy
isNone
or'emission'
, then the emission score of each tag is multiplied by the corresponding weight (as given bylabel_weights
).emission_transition
, both emission and transition scores of each tag are multiplied by the corresponding weight.weight_strategy
is'lannoy'
, then we use the strategy proposed by Lannoy et al. (2019).