To solve the problem that the Chinese named entity recognition (NER) models have poor
anti-interference ability and inaccurate entity boundary recognition, this paper proposes the …

Chinese Medical Named Entity Recognition (Chinese-MNER) aims to identify potential
entities and their categories from the unstructured Chinese medical text. Existing methods …

Legal information extraction requires identifying and classifying legal elements from specific
legal documents. Considering that information extraction is mainly regarded as the first step …

At present, telecommunications fraud crimes are on the rise, posing a serious threat to the
safety of people's property. In order to optimize anti-fraud strategies, objectively and …

Without introducing other auxiliary features, only focusing on the text, it constructs multiple
feature extractors to capture more abstract, deeper, and higher-dimensional features of the …

Abstract Named Entity Recognition for crop diseases and pests (NER-CDP) is a crucial step
in agricultural information extraction. This process offers vital data support for subsequent …