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

May 9, 2022, 1:11 a.m. | Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui

cs.CL updates on arXiv.org arxiv.org

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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