limusk / nerpapers

Worth-reading papers and related resources on Named Entity Recognition (NER). 值得一读的命名实体识别论文与相关资源集合

NERPapers

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！

Papers

• 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]

Repositories & Toolkits

• 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
• scrapinghub / python-crfsuite - A python binding for crfsuite
• 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

Datasets

• OpenKP - MS MARCO DataSets

Blog Posts

• 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
• 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）