https://github.com/2023-MindSpore-1/ms-code-5/tree/main/ernie
ERNIE: Enhanced Representation through Knowledge Integration
Papers with Code 아카이브
Chinese Named Entity Recognition
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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/2024-MindSpore-1/Code2/tree/main/model-1/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/ernie_m
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/Alibaba-NLP/CLNER
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
https://github.com/CPF-NLPR/AT4ChineseNER
https://github.com/DataScienceNigeria/ERNIE-2.0-from-Baidu-Inc.
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
https://github.com/DianboWork/Graph4CNER
https://github.com/GeremWD/dlnlp_project
TENER: Adapting Transformer Encoder for Named Entity Recognition
https://github.com/HIT-SCIR/ltp
TENER: Adapting Transformer Encoder for Named Entity Recognition
https://github.com/Houlong66/lattice_lstm_with_pytorch
https://github.com/LaiXinyi823/emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/LeeSureman/Batch_Parallel_LatticeLSTM
https://github.com/Mind23-2/MindCode-100
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/Mind23-2/MindCode-99
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/MindCode-4/code-11/tree/main/dice-loss-for-data-imbalanced-nlp-tasks
https://github.com/MindCode-4/code-3/tree/main/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/MindCode-4/code-3/tree/main/ernie_m
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/MindCode-4/code-6/tree/main/drop-an-octave-reducing-spatial
https://github.com/MindSpore-paper-code-3/code9/tree/main/emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/MindSpore-scientific/code-12/tree/main/Cybertron
DiffusionNER: Boundary Diffusion for Named Entity Recognition
https://github.com/RRRicky-Chao/clueNERtf_bert_wwm_nlpGroup1
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese
https://github.com/RohanSaxena14/mrc-for-flat-nested-ner-in-tensoflow
https://github.com/SVAIGBA/TwASP
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/SVAIGBA/WMSeg
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/YYGe01/ZEN
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/allenyummy/EHR_NER
https://github.com/changle2018/LexionAN-master
https://github.com/cuhksz-nlp/SAPar
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/cuhksz-nlp/het-mc
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/cuhksz-nlp/mcasp
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/cui0523/Code6/tree/main/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/dhiraa/tener
TENER: Adapting Transformer Encoder for Named Entity Recognition
https://github.com/fulstock/mrc_nested_ner_ru
https://github.com/fursovia/self-adj-dice
https://github.com/jaykay233/TF2.0-TENER
TENER: Adapting Transformer Encoder for Named Entity Recognition
https://github.com/lonePatient/ERNIE-text-classification-pytorch
ERNIE: Enhanced Representation through Knowledge Integration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.