命名实体识别 Named Entity Recognition 专知荟萃

综述

1. Jing Li, Aixin Sun,Jianglei Han, Chenliang Li

   • [https://arxiv.org/abs/1812.09449]

2. A Review of Named Entity Recognition (NER) Using Automatic Summarization of Resumes

   • [https://towardsdatascience.com/a-review-of-named-entity-recognition-ner-using-automatic-summarization-of-resumes-5248a75de175]

模型算法

1. LSTM + CRF中的NCRF++算法： Design Challenges and Misconceptions in Neural Sequence Labeling.COLLING 2018.

2. CNN+CRF：

3. BERT+（LSTM）+CRF：

入门学习

1. NLP之CRF应用篇（序列标注任务）（ CRF++的详细解析、Bi-LSTM+CRF中CRF层的详细解析、Bi-LSTM后加CRF的原因、CRF和Bi-LSTM+CRF优化目标的区别） ）

   • [https://www.cnblogs.com/dyl222/p/11048256.html]

2. Bilstm+CRF中的CRF详解

   • [https://blog.csdn.net/buppt/article/details/82227030]

3. Bilstm-CRF中的CRF层解析-2

   • [https://blog.csdn.net/Suan2014/article/details/89454521]

4. Bilstm-CRF中的CRF层解析-3

   • [https://blog.csdn.net/Suan2014/article/details/89467024]

5. CRF和LSTM模型在序列标注上的优劣？

   • [https://www.zhihu.com/question/46688107?sort=created]

6. CRF和LSTM的比较

   • [http://blog.csdn.net/lin370/article/details/52816197]

7. 入门参考：命名实体识别（NER）的二三事

   • [http://www.sohu.com/a/148858736_500659]

8. 基础却不简单，命名实体识别的难点与现状

   • [https://zhuanlan.zhihu.com/p/26782938]

9. 通俗理解BiLSTM-CRF命名实体识别模型中的CRF层

   • [http://www.cnblogs.com/createMoMo/p/7529885.html]

重要报告

Tutorial

​1.（pyToech）高级：制定动态决策和BI-LSTM CRF(Advanced: Making Dynamic Decisions and the Bi-LSTM CRF) - [https://pytorch.org/tutorials/beginner/nlp/advanced_tutorial.html]

代码

​1.中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

  - [https://github.com/luopeixiang/named_entity_recognition]

领域专家

1.华为-诺亚方舟 - 李航 []

2.美国伊利诺伊大学 - 韩家炜 [https://hanj.cs.illinois.edu/]

命名实体识别工具

1. Stanford NER
   • [https://nlp.stanford.edu/software/CRF-NER.shtml]
2. MALLET
   • [http://mallet.cs.umass.edu/]
3. Hanlp
   • [http://hanlp.linrunsoft.com/]
4. NLTK
   • [http://www.nltk.org/]
5. spaCy
   • [https://spcay.io/]
6. Ohio State University Twitter NER
   • [https://github.com/aritter/twitter_nlp]

###相关数据集

1. 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/]

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/]

3. NLPCC2018 开放的任务型对话系统中的口语理解评测。

   • [http://tcci.ccf.org.cn/conference/2018/taskdata.php]

CoNLL 2003

https://www.clips.uantwerpen.be/conll2003/ner/

进阶论文

1999

• Andrew Eilot Borthwick.A maximum entropy approach to named entity recognition.

• Andrei Mikheev,Claire Grover,Marc Moens.XML tools and architecture for Named Entity recognition

2005

• Jenny Rose Finkel,Trond Grenager,and Christopher Manning.Incorporating Non-ocal Information into Information Extraction Systems by Gibbs Sampling. ACL 2005.

2006

• Richárd Farkas, György Szarvas, András Kocsor.Named entity recognition for Hungarian using various machine learning algorithms.

2008

• Ignazio Gallo,Elisabetta Bingahi,Moreno Carullo,Nicola Lambetri.Named Entity Recognition by Neural Sliding Window. DAS 2018.

2009

• Lev Ratinovand Dan Roth.Design challenges and misconceptions in named entity recognition in proceedings of CoNLL 2019.

• Asif Ekbal,Sivaji Bandyopadhyay.Bengali Named Entity Recognition Using Classifier Combination.ICAPR 2009.

2010

• A.T.Winck,K.S.Machiado,D.D.Ruiz,V.L.Strube de Lima.Association rules to identify receptor and ligand structures through named entities recognition. IEA/AIE 2010.

2011

• Alan Ritter, Sam Clark, and Oren Etzioni.Named entity recognition in tweets: an experimental study. EMNLP 2011.

2012

• Alan Ritter, Oren Etzioni, and Sam Clark.Open domain event extraction from twitter.KDD 2012.

• Vassilis Plachouras,Matthieu Riviere,Michalis Vazirgiannis.Named entity recognition and identification for finding the owner of a home page.PAKDD 2012.

• Mandefro Lagesse Kejela,Dejene Ejigu Dedefa.Named Entity Recognition for Afan Oromo: Developing Named Entity Recognition for Resource Scarce Languages

2013

• Avirup Sil.Exploring re-ranking approaches for joint named-entity recognition and linking. PIKM 2013.

• Arivup Sil,Alexander Yates.Re-ranking for joint named-entity recognition and linking. CIKM 2013.

• Tomoya Iwakura,Hiroya Takamura,Manabu Okumura.A Named Entity Recognition Method Based on Decomposition and Concatenation of Word Chunks. ACM 2013.

2014

• Dinesh Kumar Prabhakar, Shantanu Dubey, Bharti Goel,Sukomal Pal.ISM@FIRE-2014: Named Entity Recognition for Indian Languages. FIRE 2014.

2015

• Zhiheng Huang, Wei Xu, Kai Yu.Bidirectional LSTM-CRF Models for Sequence Tagging. CS 2015.

• Xiang Ren, Ahmed El-Kishky, Chi Wang, FangboTao, Clare R.Voss, and JiaweiHan.Clustype: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering. KDD 2015.

2016

• Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer.Neural Architectures for Named Entity Recognition. NAACL-HLT 2016.

• Xuezhe Ma and Eduard Hovy.End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF. ACL 2016.

2017

• Nils Reimersand IrynaGurevych.Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging. EMNLP 2017.

• Wenqi He.Autoentity: automated entity detection from massive text corpora

• Jason Fries, Sen Wu, Alex Ratner, and Christopher Ré.2-17.SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data. NASA 2017.

• AthanasiosGiannakopoulos, ClaudiuMusat, AndreeaHossmann, and Michael Baeriswyl.Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets. WCAS 2017.

• MengJiang, Jingbo Shang, Xiang Ren, Taylor Cassidy, Lance Kaplan, Timothy Hanratty, and JiaweiHan.MetaPAD: Meta Pattern-driven Attribute Discovery from Massive Text Corpora. KDD 2017.

• Qi Li, MengJiang, XikunZhang, MengQu, Timothy Hanratty, Jing Gao, and JiaweiHan.TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. KDD 2018.

• Shijia E,Yang Xiang.2017.Chinese Named Entity Recognition with Character-Word Mixed Embedding. CIKM 2017.

• Burcu Kpeliolu,Tankut Acarman,Bernard Levrat.Metonymy Resolution through Named Entity Recognition

• Rafael Peres,Diego Esteves,Gaurav Maheswari.Bidirectional LSTM with a Context Input Window for Named Entity Recognition in Tweets. K-CAP 2017.

• Siliang Tang，Ning Zhang，Jinjiang Zhang，Fei Wu，Yueting Zhuang.A Neural Inductive Teaching Framework for Domain-Specific NER . EMNLP 2017.

2018

• Jingbo Shang,LiyuanLiu,XiaotaoGu,Xiang Ren,TengRen and JiaweiHan.Learning Named Entity Tagger using DomainSpecific Dictionary. EMNLP 2018.

• LiyuanLiu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng and JiaweiHan.Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. EMNLP 2018.

• LiyuanLiu, Jingbo Sahng, Frank Xu, Xiang Ren, HuanGui, Jian Peng and JiaweiHan.Empower Sequence Labeling with Task-Aware Neural Language Model. AAAI 2018.

• Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, MarinkaZitnik, Jingbo Shang, Curtis Langlotz, and JiaweiHan.Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning .

• Matthew Peters, Mark Neumann, MohitIyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer.Deep Contextualized Word Representations. ACL 2018.

• Alan Akbik, Duncan Blythe, and Roland Vollgraf.Contextual String Embeddings for Sequence Labeling. COLING 2018.

• Xuan Wang, Yu Zhang, Qi Li, Cathy H.Wu, Jiawei Han.PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature. BIBM 2018.

• Qi Li, Xuan Wang, Yu Zhang, Fei Ling, Cathy H.Wu, Jiawei Han.Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature. BIBM 2018.

• Yue Zhang，Jie Yang.Chinese NER Using Lattice LSTM . ACL 2018.

• Yanyao Shen，Hyokun Yun，Zachary C.Lipton，Yakov Kronrod，Animashree Anandkrumar.Deep Active Learning for Named Entity Recognition. ICLR 2018.

2019

• Ying Luo, Fengshun Xiao, Hai Zhao.Hierarchical Contextualized Representation for Named Entity Recognition. NASA ADS 2019.

• Hang Yan, Bocao Deng, Xiaonan Li, Xipeng Qiu.TENER: Adapting Transformer Encoder for Named Entity Recognition. NASA ADS 2019.

• Pratyay Banerjee, Kuntal Kumar Pal, Murthy Devarakonda, Chitta Baral.Knowledge Guided Named Entity Recognition. NASA ADS 2019.

• Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li.Better Modeling of Incomplete Annotations for Named Entity Recognition. ACL 2019.

• Yuying Zhu and Guoxin Wang. CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition. NAACL 2019.

• M Saiful Bari, Shafiq Joty, Prathyusha Jwalapuram.Zero-Resource Cross-Lingual Named Entity Recognition.

• Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum.Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition

• Binh An Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen.Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models

• Fangzhao Wu,Junxin Liu,Chuhan Wu,Yongfeng Huang,Xing Xie.Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. WWW 2019.

• Mohammed Nadher Abdo Ali, Guanzheng Tan, Aamir Hussain.Boosting Arabic Named-Entity Recognition With Multi-Attention Layer. IEEE 2019.

• Juae Kim,Youngjoong Ko,Jungyun Seo.A Bootstrapping Approach With CRF and Deep Learning Models for Improving the Biomedical Named Entity Recognition in Multi-Domains. IEEE 2019.

• Donghyeon Kim, Jinhyuk Lee, Chan Ho So, Hwisang Jeon, Minbyul Jeong, Yonghwa Choi, Wonjin Yoon, Mujeen Sung, Jaewoo KangA Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining. IEEE 2019.

• Xiaoya Li，Jingrong Feng，Yuxian Meng，Qinghong Han，Fei Wu，Jiwei Li.A Unified MRC Framework for Named Entity Recognition.

• Hao Wei, Mingyuan Gao, Ai zhou, Fei chen, Wen Qu, Chunli Wang, Mingyu Lu.Named Entity Recognition From Biomedical Texts Using a Fusion Attention-Based BiLSTM-CRF. IEEE 2019.

• Guohua Wu, Guangen Tang, Zhongru Wang, Zhen Zhang, Zhen Wang.An Attention-Based BiLSTM-CRF Model for Chinese Clinic Named Entity Recognition. IEEE 2019.

• Chadi Helwe, Shady Elbassuoni.[Arabic named entity recognition via deep co-learning

• Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz, JiaweiHan.Cross-type biomedical named entity recognition with deep multi-task learning

• Xi Wang, Jiagao Lyu, Li Dong, Ke Xu.Multitask learning for biomedical named entity recognition with cross-sharing structure. BMC 2019.

• Wonjin Yoon, Chan Ho So, Jinhyuk Lee, Jaewoo Kang.CollaboNet: collaboration of deep neural networks for biomedical named entity recognition. BMC 2019.

2020

• Xiaofeng Mu, Wei Wang, Aiping Xu.Incorporating token-level dictionary feature into neural model for named entity recognition