# awesome-chinese-ner
中文命名实体识别
#### 延申
- 中文预训练模型综述 <br>
https://www.jsjkx.com/CN/10.11896/jsjkx.211200018
- 中文预训练模型下载地址<br>
https://github.com/lonePatient/awesome-pretrained-chinese-nlp-models
- 中文词向量下载地址<br>
https://github.com/Embedding/Chinese-Word-Vectors
- Bilstm_CRF怎么调参? <br>
https://arxiv.org/pdf/1707.06799.pdf
- 使用chatgpt进行信息抽取(实体、关系、事件)<br>
Zero-Shot Information Extraction via Chatting with ChatGPT<br>
演示地址:http://124.221.16.143:5000/<br>
https://arxiv.org/pdf/2302.10205.pdf<br>
https://github.com/cocacola-lab/ChatIE<br>
- GPT for Information Extraction<br>
https://github.com/cocacola-lab/GPT4IE<br>
- Evaluation-of-ChatGPT-on-Information-Extraction<br>
https://github.com/RidongHan/Evaluation-of-ChatGPT-on-Information-Extraction<br>
- 这篇把它放在延申这里:<br>
Unified Text Structuralization with Instruction-tuned Language Models<br>
2023<br>
https://arxiv.org/pdf/2303.14956v2.pdf<br>
#### 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<br>
2022年 中文信息学报<br>
http://61.175.198.136:8083/rwt/125/http/GEZC6MJZFZZUPLSSGM3B/Qikan/Article/Detail?id=7107633068<br>
- 命名实体识别方法研究综述<br>
2022年 计算机科学与探索<br>
http://fcst.ceaj.org/CN/10.3778/j.issn.1673-9418.2112109<br>
- 中文命名实体识别综述<br>
2021年 计算机科学与探索<br>
http://fcst.ceaj.org/CN/abstract/abstract2902.shtml<br>
- Chinese named entity recognition: The state of the art<br>
Neurocomputing 2022<br>
[link](https://reader.elsevier.com/reader/sd/pii/S0925231221016581?token=592CD98CF076A91AFE5EDB2396D806784B30D3217FD7B61FE2FE9CB905451ABB5B28C0285AAFA973010ACE14AD387A5C&originRegion=us-east-1&originCreation=20221119143715)
# 模型
- Universal Information Extraction as Unified Semantic Matching<br>
通用的信息抽取:实体、关系、事件(没有在中文数据上的实验)<br>
AAAI 2023<br>
https://arxiv.org/pdf/2301.03282.pdf<br>
- Token Relation Aware Chinese Named Entity Recognition<br>
ACM Transactions on Asian and Low-Resource Language Information Processing 2023<br>
https://dl.acm.org/doi/10.1145/3531534<br>
- PUnifiedNER: a Prompting-based Unified NER System for Diverse Datasets<br>
AAAI 2023<br>
https://arxiv.org/pdf/2211.14838.pdf<br>
https://github.com/GeorgeLuImmortal/PUnifiedNER<br>
- END-TO-END ENTITY DETECTION WITH PROPOSER ANDREGRESSOR<br>
借鉴目标检测的思想<br>
2022<br>
https://arxiv.org/pdf/2210.10260v2.pdf<br>
https://github.com/Rosenberg37/EntityDetection<br>
- DAMO-NLP at SemEval-2022 Task 11:A Knowledge-based System for Multilingual Named Entity Recognition<br>
多语言的命名实体识别<br>
2022<br>
https://arxiv.org/pdf/2203.00545.pdf<br>
https://github.com/Alibaba-NLP/KB-NER<br>
- PCBERT: Parent and Child BERT for Chinese Few-shot NER<br>
COLING 2022<br>
https://aclanthology.org/2022.coling-1.192.pdf
- GNN-SL: Sequence Labeling Based on Nearest Examples via GNN<br>
2022<br>
https://arxiv.org/pdf/2212.02017.pdf<br>
https://github.com/ShuheWang1998/GNN-SL
- EiCi: A New Method of Dynamic Embedding Incorporating Contextual Information in Chinese NER<br>
这个和AMBERT的思想感觉差不多:[AMBERT](https://arxiv.org/pdf/2008.11869.pdf)<br>
2022<br>
https://openreview.net/pdf?id=0TKg4UlnEEQ
- Deep Span Representations for Named Entity Recognition<br>
2022<br>
https://arxiv.org/pdf/2210.04182v1.pdf
- Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes<br>
2022<br>
https://arxiv.org/pdf/2211.10854.pdf
- Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling<br>
EMNLP 2022<br>
https://arxiv.org/pdf/2210.15231.pdf<br>
http://github.com/modelscope/adaseq/examples/babert
- Domain-Specific NER via Retrieving Correlated Samples<br>
COLING 2022<br>
https://arxiv.org/pdf/2208.12995.pdf
- Two Languages Are Better than One: Bilingual Enhancement for Chinese Named Entity Recognition<br>
COLING 2022<br>
https://aclanthology.org/2022.coling-1.176.pdf
- A hybrid Transformer approach for Chinese NER with features augmentation<br>
Expert Syst. Appl 2022<br>
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4087645
- Adaptive Threshold Selective Self-Attention for Chinese NER<br>
COLING 2022<br>
https://aclanthology.org/2022.coling-1.157.pdf
- Improving Chinese Named Entity Recognition by Search Engine Augmentation<br>
2022<br>
https://arxiv.org/pdf/2210.12662.pdf<br>
- Domain-Specific NER via Retrieving Correlated Samples<br>
COLING 2022<br>
https://arxiv.org/pdf/2208.12995.pdf<br>
- Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting<br>
NAACL 2022 <br>
https://arxiv.org/pdf/2204.11406.pdf<br>
https://github.com/LindgeW/MetaAug4NER<br>
- Boundary Smoothing for Named Entity Recognition<br>
ACL 2022<br>
https://arxiv.org/pdf/2204.12031v1.pdf<br>
https://github.com/syuoni/eznlp<br>
- NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition <br>
2022 <br>
https://arxiv.org/pdf/2205.05832.pdf <br>
- Unified Structure Generation for Universal Information Extraction <br>
(一统实体识别、关系抽取、事件抽取、情感分析) <br>
ACL 2022 <br>
https://arxiv.org/pdf/2203.12277.pdf <br>
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/uie <br>
https://github.com/universal-ie/UIE <br>
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 <br>
2022<br>
https://arxiv.org/pdf/2205.10475v1.pdf<br>
https://github.com/cgraywang/deepstruct<br>
- Parallel Instance Query Network for Named Entity Recognition <br>
2022 <br>
https://arxiv.org/pdf/2203.10545v1.pdf <br>
- Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition<br>
NAACL 2022<br>
https://arxiv.org/pdf/2204.05544.pdf<br>
- TURNER: The Uncertainty-based Retrieval Framework for Chinese NER<br>
2022<br>
https://arxiv.org/pdf/2202.09022 <br>
- NN-NER: Named Entity Recognition with Nearest Neighbor Search<br>
2022 <br>
https://arxiv.org/pdf/2203.17103<br>
https://github.com/ShannonAI/KNN-NER<br>
- Unified Named Entity Recognition as Word-Word Relation Classification<br>
AAAI 2022 <br>
https://arxiv.org/abs/2112.10070 <br>
https://github.com/ljynlp/W2NER.git<br>
- MarkBERT: Marking Word Boundaries Improves Chinese BERT<br>
2022 <br>
https://arxiv.org/pdf/2203.06378<br>
- MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition<br>
2021 <br>
https://arxiv.org/pdf/2109.07877<br>
- AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations<br>
2021 <br>
https://arxiv.org/pdf/2109.05233<br>
- ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information <br>
ACL 2021<br>
https://arxiv.org/pdf/2106.16038<br>
https://github.com/ShannonAI/ChineseBert<br>
- Enhanced Language Representation with Label Knowledge for Span Extraction<br>
EMNLP 2021<br>
https://aclanthology.org/2021.emnlp-main.379.pdf<br>
https://github.com/Akeepers/LEAR <br>
- Lex-BERT: Enhancing BERT based NER with lexicons <br>
ICLR 2021 <br>
https://arxiv.org/pdf/2101.00396v1.pdf<br>
- Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter <br>
ACL 2021 <br>
https://arxiv.org/pdf/2105.07148.pdf<br>
https://github.com/liuwei1206/LEBERT<br>
- MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition <br>
ACL 2021 <br>
https://arxiv.org/pdf/2107.05418v1.pdf<br>
https://github.com/CoderMusou/MECT4CNER <br>
- Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition <br>
ACL 2021 <br>
https://arxiv.org/pdf/2105.06804v2.pdf<br>
https://github.com/tricktreat/locate-and-label <br>
- Dynamic Modeling Cross- and Self-Lattice Attention Network for Chinese NER<br>
AAAI 2021<br>
https://ojs.aaai.org/index.ph
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