awesome-chinese-ner

中文命名实体识别

延申

• 中文预训练模型综述
  https://www.jsjkx.com/CN/10.11896/jsjkx.211200018
• 中文预训练模型下载地址
  https://github.com/lonePatient/awesome-pretrained-chinese-nlp-models
• 中文词向量下载地址
  https://github.com/Embedding/Chinese-Word-Vectors

命名实体识别综述（中文）

• 基于深度学习的中文命名实体识别最新研究进展综述
  2022年 中文信息学报
  http://61.175.198.136:8083/rwt/125/http/GEZC6MJZFZZUPLSSGM3B/Qikan/Article/Detail?id=7107633068
  
• 命名实体识别方法研究综述
  2022年 计算机科学与探索
  http://fcst.ceaj.org/CN/10.3778/j.issn.1673-9418.2112109
  
• 中文命名实体识别综述
  2021年 计算机科学与探索
  http://fcst.ceaj.org/CN/abstract/abstract2902.shtml
  

模型

• Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting
  NAACL 2022
  https://arxiv.org/pdf/2204.11406.pdf
  https:github.com/LindgeW/MetaAug4NER
  

• Boundary Smoothing for Named Entity Recognition
  ACL 2022
  https://arxiv.org/pdf/2204.12031v1.pdf
  https://github.com/syuoni/eznlp
  

• NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition
  2022
  https://arxiv.org/pdf/2205.05832.pdf
  

• Unified Structure Generation for Universal Information Extraction
  （一统实体识别、关系抽取、事件抽取、情感分析）
  ACL 2022
  https://arxiv.org/pdf/2203.12277.pdf
  https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/uie
  https://github.com/universal-ie/UIE
  以下这篇也是通用的，只是英文方面的，没有中文数据上的实验：

  • DEEPSTRUCT: Pretraining of Language Models for Structure Prediction
    2022
    https://arxiv.org/pdf/2205.10475v1.pdf
    https://github.com/cgraywang/deepstruct
    

• Parallel Instance Query Network for Named Entity Recognition
  2022
  https://arxiv.org/pdf/2203.10545v1.pdf
  

• Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition
  NAACL 2022
  https://arxiv.org/pdf/2204.05544.pdf
  

• TURNER: The Uncertainty-based Retrieval Framework for Chinese NER
  2022
  https://arxiv.org/pdf/2202.09022
  

• NN-NER: Named Entity Recognition with Nearest Neighbor Search
  2022
  https://arxiv.org/pdf/2203.17103
  https://github.com/ShannonAI/KNN-NER
  

• Unified Named Entity Recognition as Word-Word Relation Classification
  AAAI 2022
  https://arxiv.org/abs/2112.10070
  https://github.com/ljynlp/W2NER.git
  

• MarkBERT: Marking Word Boundaries Improves Chinese BERT
  2022
  https://arxiv.org/pdf/2203.06378
  

• MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition
  2021
  https://arxiv.org/pdf/2109.07877
  

• AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations
  2021
  https://arxiv.org/pdf/2109.05233
  

• ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
  ACL 2021
  https://arxiv.org/pdf/2106.16038
  https://github.com/ShannonAI/ChineseBert
  

• Enhanced Language Representation with Label Knowledge for Span Extraction
  EMNLP 2021
  https://aclanthology.org/2021.emnlp-main.379.pdf
  https://github.com/Akeepers/LEAR
  

• Lex-BERT: Enhancing BERT based NER with lexicons
  ICLR 2021
  https://arxiv.org/pdf/2101.00396v1.pdf
  

• Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter
  ACL 2021
  https://arxiv.org/pdf/2105.07148.pdf
  https://github.com/liuwei1206/LEBERT
  

• MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition
  ACL 2021
  https://arxiv.org/pdf/2107.05418v1.pdf
  https://github.com/CoderMusou/MECT4CNER
  

• Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
  ACL 2021
  https://arxiv.org/pdf/2105.06804v2.pdf
  https://github.com/tricktreat/locate-and-label
  

• Dynamic Modeling Cross- and Self-Lattice Attention Network for Chinese NER
  AAAI 2021
  https://ojs.aaai.org/index.php/AAAI/article/view/17706/17513
  https://github.com/zs50910/DCSAN-for-Chinese-NER
  

• Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
  EMNLP-2020
  https://arxiv.org/pdf/2010.15466
  https://github.com/cuhksz-nlp/AESINER
  

• ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
  ACL 2020
  https://arxiv.org/pdf/1911.00720v1.pdf
  https://github.com/sinovation/ZEN
  

• A Unified MRC Framework for Named Entity Recognition
  ACL 2020
  https://arxiv.org/pdf/1910.11476v6.pdf
  https://github.com/ShannonAI/mrc-for-flat-nested-ner
  

• Simplify the Usage of Lexicon in Chinese NER
  ACL 2020
  https://arxiv.org/pdf/1908.05969.pdf
  https://github.com/v-mipeng/LexiconAugmentedNER
  

• Dice Loss for Data-imbalanced NLP Tasks
  ACL 2020
  https://arxiv.org/pdf/1911.02855v3.pdf
  https://github.com/ShannonAI/dice_loss_for_NLP
  

• Porous Lattice Transformer Encoder for Chinese NER
  COLING 2020
  https://aclanthology.org/2020.coling-main.340.pdf
  

• FLAT: Chinese NER Using Flat-Lattice Transformer
  ACL 2020
  https://arxiv.org/pdf/2004.11795v2.pdf
  https://github.com/LeeSureman/Flat-Lattice-Transformer
  

• FGN: Fusion Glyph Network for Chinese Named Entity Recognition
  2020
  https://arxiv.org/pdf/2001.05272v6.pdf
  https://github.com/AidenHuen/FGN-NER
  

• SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER
  2020
  https://arxiv.org/pdf/2007.08416v1.pdf
  https://github.com/zerohd4869/SLK-NER
  

• Entity Enhanced BERT Pre-training for Chinese NER
  EMNLP 2020
  https://aclanthology.org/2020.emnlp-main.518.pdf
  https://github.com/jiachenwestlake/Entity_BERT
  

• Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
  ACL2020
  https://arxiv.org/pdf/2010.15466v1.pdf
  https://github.com/cuhksz-nlp/AESINER
  

• Named Entity Recognition for Social Media Texts with Semantic Augmentation
  EMNLP 2020
  https://arxiv.org/pdf/2010.15458v1.pdf
  https://github.com/cuhksz-nlp/SANER
  

• CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese
  2020
  https://arxiv.org/pdf/2001.04351v4.pdf
  https://github.com/CLUEbenchmark/CLUENER2020
  

• ERNIE: Enhanced Representation through Knowledge Integration
  2019
  https://arxiv.org/pdf/1904.09223v1.pdf
  https://github.com/PaddlePaddle/ERNIE
  

• TENER: Adapting Transformer Encoder for Named Entity Recognition
  2019
  https://arxiv.org/pdf/1911.04474v3.pdf
  https://github.com/fastnlp/TENER
  

• Chinese NER Using Lattice LSTM
  ACL 2018
  https://arxiv.org/pdf/1805.02023v4.pdf
  https://github.com/jiesutd/LatticeLSTM
  

• ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
  2019
  https://arxiv.org/pdf/1907.12412v2.pdf
  https://github.com/PaddlePaddle/ERNIE
  

• Glyce: Glyph-vectors for Chinese Character Representations
  NeurIPS 2019
  https://arxiv.org/pdf/1901.10125v5.pdf
  https://github.com/ShannonAI/glyce
  

• CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
  NAACL 2019
  https://arxiv.org/pdf/1904.02141v3.pdf
  https://github.com/microsoft/vert-papers/tree/master/papers/CAN-NER
  

• Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation
  2019
  https://arxiv.org/pdf/1905.01964v1.pdf
  https://github.com/rxy007/cnn-lstm-crf
  

• Chinese Named Entity Recognition Augmented with Lexicon Memory
  2019
  https://arxiv.org/pdf/1912.08282v2.pdf
  https://github.com/dugu9sword/LEMON
  

• Exploiting Multiple Embeddings for Chinese Named Entity Recognition
  2019
  https://arxiv.org/pdf/1908.10657v1.pdf
  https://github.com/WHUIR/ME-CNER
  

• Dependency-Guided LSTM-CRF for Named Entity Recognition
  IJCNLP 2019
  https://arxiv.org/pdf/1909.10148v1.pdf
  https://github.com/allanj/ner_with_dependency
  

• CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
  NAACL-HLT (1) 2019
  https://aclanthology.org/N19-1342/
  

• CNN-Based Chinese NER with Lexicon Rethinking
  IJCAI 2019
  https://www.ijcai.org/proceedings/2019/0692.pdf
  https://aclanthology.org/N19-1342.pdf
  

• Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
  IJCNLP 2019
  https://aclanthology.org/D19-1396.pdf
  https://github.com/DianboWork/Graph4CNER
  

• Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning
  COLING 2018
  https://aclanthology.org/C18-1183.pdf
  https://github.com/rainarch/DSNER
  

• Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
  EMNLP 2018
  https://aclanthology.org/D18-1017.pdf
  https://github.com/CPF-NLPR/AT4ChineseNER
  

非中文模型

没有针对于中文的实验，但是思想可以借鉴的：

• A Unified Generative Framework for Various NER Subtasks
  （使用BART生成模型进行命名实体识别）
  ACL-ICJNLP 2021
  https://arxiv.org/pdf/2106.01223.pdf
  https://github.com/yhcc/BARTNER
  (以下四篇是基于prompt的命名实体识别)
  
• Template-Based Named Entity Recognition Using BART
  https://arxiv.org/abs/2106.01760
  https://github.com/Nealcly/templateNER
  
• Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
  https://arxiv.org/abs/2110.08454
  https://github.com/INK-USC/fewNER
  
• LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER
  https://arxiv.org/abs/2109.00720
  https://github.com/zjunlp/DeepKE/blob/main/example/ner/few-shot/README_CN.md
  
• Template-free Prompt Tuning for Few-shot NER
  https://arxiv.org/abs/2109.13532
  https://github.com/rtmaww/EntLM/
  

数据集

• MSRA
• Weibo
• resume
• onenotes4
• onenotes5
• 一家公司提供的数据集,包含人名、地名、机构名、专有名词。
• 人民网（04年）
• 影视-音乐-书籍实体标注数据
• 中文医学文本命名实体识别 2020CCKS
• 医渡云实体识别数据集
• CLUENER2020
• 不同任务中文数据集整理

预训练语言模型

• ChineseBert
• MacBert
• SpanBert
• XLNet
• Roberta
• Bert
• StructBert
• WoBert
• ELECTRA
• Ernie1.0
• Ernie2.0
• Ernie3.0
• NeZha
• MengZi
• Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words
• PERT: Pre-Training BERT with Permuted Language Model

Ner工具

• Stanza
• LAC
• Ltp
• Hanlp
• foolnltk
• NLTK
• BosonNLP
• FudanNlp
• Jionlp
• HarvestText
• fastHan

比赛

• CCKS2017开放的中文的电子病例测评相关的数据。
  评测任务一：https://biendata.com/competition/CCKS2017_1/
  评测任务二：https://biendata.com/competition/CCKS2017_2/
  
• CCKS2018开放的音乐领域的实体识别任务。
  评测任务：https://biendata.com/competition/CCKS2018_2/
  
• (CoNLL 2002)Annotated Corpus for Named Entity Recognition。
  地址：https://www.kaggle.com/abhinavwalia95/entity-annotated-corpus
  
• NLPCC2018开放的任务型对话系统中的口语理解评测。
  地址：http://tcci.ccf.org.cn/conference/2018/taskdata.php
  
• 非结构化商业文本信息中隐私信息识别
  地址：https://www.datafountain.cn/competitions/472/datasets
• 商品标题识别
  地址：https://www.heywhale.com/home/competition/620b34ed28270b0017b823ad/content/3
• CCKS2021中文NLP地址要素解析
  地址：https://tianchi.aliyun.com/competition/entrance/531900/introduction