An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. (arXiv:2109.13023v3 [cs.CL] UPDATED)

Web: http://arxiv.org/abs/2109.13023

Few-Shot Sequence Labeling (FSSL) is a canonical paradigm for the tagging
models, e.g., named entity recognition and slot filling, to generalize on an
emerging, resource-scarce domain. Recently, the metric-based meta-learning
framework has been recognized as a promising approach for FSSL. However, most
prior works assign a label to each token based on the token-level similarities,
which ignores the integrality of named entities or slots. To this end, in this
paper, we propose ESD, an Enhanced Span-based Decomposition method for FSSL. …

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