https://github.com/lvyufeng/ERNIE_mindspore
ERNIE: Enhanced Representation through Knowledge Integration
Papers with Code 아카이브
Chinese Named Entity Recognition
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- 평가표
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- 보존된 평가 기록
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Chinese named entity recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc. from Chinese text (Source: Adapted from Wikipedia).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lyqcom/emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/manliu1225/mrc-for-flat-nested-ner
https://github.com/microsoft/CyBERTron-LM
DiffusionNER: Boundary Diffusion for Named Entity Recognition
https://github.com/modelscope/modelscope
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling
https://github.com/nghuyong/ERNIE-Pytorch
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/qq547276542/TF_adapting_transformer
TENER: Adapting Transformer Encoder for Named Entity Recognition
https://github.com/rxy007/cnn-lstm-crf
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation
https://github.com/shuhewang1998/gpt-ner
https://github.com/thanhlt998/mrc-ner
https://github.com/uloveqian2021/NER
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese
https://github.com/vchopin/ERNIE_Emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/yangyucheng000/University/tree/main/model-2/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/zhangyuwangumass/Glyph-based-Chinese-Character-Embedding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.