MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition

arXiv:2109.07877v2 Announce Type: replace
Abstract: In Chinese Named Entity Recognition, character substitution is a complicated linguistic phenomenon. Some Chinese characters are quite similar as they share the same components or have similar pronunciations. People replace characters in a named entity with similar characters to generate a new collocation but referring to the same object. As a result, it always leads to unrecognizable or mislabeling errors in the NER task. In this paper, we propose a lightweight method, MFE-NER, which fuses …

abstract arxiv characters chinese components cs.cl embedding feature fusion generate ner people recognition type