Worth-reading and awesome papers on Named Entity Recognition.
Suggestions about adding papers, repositories and other resources are welcomed!
Since I am Chinese, I mainly focus on Chinese resources. Welcome to recommend excellent resources in English or other languages!
值得一读的命名实体识别相关资源集合。
欢迎新增论文、代码仓库与其他资源等建议！
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. John Lafferty, Andrew McCallum, Fernando C.N. Pereira. (ICML 2001) [paper] - CRF
- Chinese NER Using Lattice LSTM. Yue Zhang, Jie Yang. (ACL 2018) [paper]
- Hierarchically-Refined Label Attention Network for Sequence Labeling. Leyang Cui, Yue Zhang. (EMNLP 2019) [paper][code] - LAN
- A Unified MRC Framework for Named Entity Recognition. Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, Jiwei Li. (ACL 2019) [paper]
- TENER: Adapting Transformer Encoder for Named Entity Recognition. Hang Yan, Bocao Deng, Xiaonan Li, Xipeng Qiu. (CoRR 2019) [paper]
- TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren. (ACL 2020) [paper][code]
- FLAT: Chinese NER Using Flat-Lattice Transformer. Xiaonan Li, Hang Yan, Xipeng Qiu, Xuanjing Huang. (ACL 2020) [paper][code]
- Simplify the Usage of Lexicon in Chinese NER. Ruotian Ma, Minlong Peng, Qi Zhang, Zhongyu Wei, Xuanjing Huang. [paper][code]
- A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang. (ACL 2020) [paper][code] - CasRel
- Lex-BERT: Enhancing BERT based NER with lexicons. Wei Zhu, Daniel Cheung. (ICLR 2021) [paper]
- Few-Shot Named Entity Recognition: A Comprehensive Study. Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han. (CoRR 2020) [paper]
- CLUEbenchmark / CLUENER2020 - Fine-grained NER for Chinese based on pretrianed language model
- CLUENER2020: Fine-grained Name Entity Recognition for Chinese. Liang Xu, Yu tong, Qianqian Dong, Yixuan Liao, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Caiquan Liu, Xuanwei Zhang. (CoRR 2020) [paper]
- dsindex / ntagger - reference pytorch code for named entity tagging
- jiesutd / NCRF++ - An open-source neural sequence labeling toolkit
- NCRF++: An Open-source Neural Sequence Labeling Toolkit. Jie Yang, Yue Zhang. (ACL 2018) [paper]
- lingluodlut / BioNER-Progress - Tracking the progress in biomedical NER
- lonePatient/BERT-NER-Pytorch - Chinese NER using BERT
- loujie0822 / DeepIE - Deep Learning for Information Extraction
- percent4 / people_relation_extract - 结合BERT+GRU+ATT模型，对自己收集的人物关系数据进行模型训练，用于人物关系抽取
- scrapinghub / python-crfsuite - A python binding for crfsuite
- ShulinCao / OpenNRE-PyTorch - 上一项目的PyTorch版本
- taku910 / CRF++ - A simple, customizable, and open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data
- THUNLP / Bert2Tag - Bert base sequence tagging on OpenKP
- THUNLP / OpenNRE
- OpenKP - MS MARCO DataSets
- Elesdspline / 【ACL2020论文尝鲜】如何以低成本的数据构建高效NER模型 TriggerNER？
- 虎哥 / 手撕BiLSTM-CRF
- Jay Lou / 中文NER的正确打开方式: 词汇增强方法总结 (从Lattice LSTM到FLAT)
- Jay Lou / 工业界如何解决NER问题？12个trick，与你分享～
- Jay Lou / 工业界求解NER问题的12条黄金法则
- Jay Lou / 陈丹琦“简单到令人沮丧”的屠榜之作：关系抽取新SOTA！
- Jay Lou / 打开你的脑洞：NER如何进行数据增强 ？
- Jay Lou / Lex-BERT：超越FLAT的中文NER模型？
- 美团 / 美团搜索中NER技术的探索与实践
- 邱震宇 / 中文NER任务实验小结报告——深入模型实现细节
- 苏剑林 / 你的CRF层的学习率可能不够大
- 王岳王院长 / 流水的NLP铁打的NER：命名实体识别实践与探索
- 张成蹊 / 浅谈嵌套命名实体识别（Nested NER）
- AI自然语言处理与知识图谱 Elesdspline / 综述：关系抽取，挑战与机遇并存！