WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition. (arXiv:2203.06925v5 [cs.CL] UPDATED)

Named Entity Recognition task is one of the core tasks of information
extraction. Word ambiguity and word abbreviation are important reasons for the
low recognition rate of named entities. In this paper, we propose a novel named
entity recognition model WCL-BBCD (Word Contrastive Learning with
BERT-BiLSTM-CRF-DBpedia), which incorporates the idea of contrastive learning.
The model first trains the sentence pairs in the text, calculate similarity
between sentence pairs, and fine-tunes BERT used for the named entity
recognition task according to …

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