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Named Entity Recognition seeks to extract substrings within a text that name real-world objects and to determine their type (for example, whether they refer to persons or organizations).
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GuoDong Zhou and Jian Su · 2002
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Improving machine translation quality with automatic named entity recognition
Bogdan Babych and Anthony Hartley · 2003
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Named entity recognition with a maximum entropy approach
Hai Leong Chieu and Hwee Tou Ng · 2003
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James R Curran and Stephen Clark · 2003
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Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
Andrew McCallum and Wei Li · 2003
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Japanese named entity extraction with redundant morphological analysis
Masayuki Asahara and Yuji Matsumoto · 2003
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Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin · 2003
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Using tf-idf to determine word relevance in document queries
Juan Ramos et al · 2003
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Introduction to the CoNLL-2003 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang and Fien De Meulder · 2003
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Biomedical named entity recognition using two-phase model based on svms
Ki-Joong Lee, Young-Sook Hwang, Seonho Kim, and Hae-Chang Rim · 2004
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Definition, dictionaries and tagger for extended named entity hierarchy
Satoshi Sekine and Chikashi Nobata · 2004
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Named entity discovery using comparable news articles
Yusuke Shinyama and Satoshi Sekine · 2004
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Named entity recognition in biomedical texts using an hmm model
Shaojun Zhao · 2004
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A maximum entropy approach to biomedical named entity recognition
Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pin Wu, et al · 2004
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Biomedical named entity recognition using conditional random fields and rich feature sets
Burr Settles · 2004
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George R Doddington, Alexis Mitchell, Mark A Przybocki, Lance A Ramshaw, Stephanie M Strassel, and Ralph M Weischedel · 2004
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Unsupervised named-entity extraction from the web: An experimental study
Oren Etzioni, Michael Cafarella, Doug Downey, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S Weld, and Alexander Yates · 2005
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Prominer: rule-based protein and gene entity recognition
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevissen, Ralf Zimmer, and Juliane Fluck · 2005
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Self-training and co-training applied to spanish named entity recognition
Zornitsa Kozareva, Boyan Bonev, and Andres Montoyo · 2005
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The opennlp project
Jason Baldridge · 2005
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Named entity recognition for question answering
Diego Mollá, Menno Van Zaanen, and Daniel Smith · 2006
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Using encyclopedic knowledge for named entity disambiguation
Razvan Bunescu and Marius Pasca · 2006
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Unsupervised named-entity recognition: Generating gazetteers and resolving ambiguity
David Nadeau, Peter D Turney, and Stan Matwin · 2006
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Named entity recognition using hybrid machine learning approach
Raymond Chiong and Wang Wei · 2006
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Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen · 2006
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A survey of named entity recognition and classification
David Nadeau and Satoshi Sekine · 2007
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Recognising nested named entities in biomedical text
Beatrice Alex, Barry Haddow, and Claire Grover · 2007
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Experiments in telugu ner: A conditional random field approach
Praneeth M Shishtla, Karthik Gali, Prasad Pingali, and Vasudeva Varma · 2008
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Named entity recognition by neural sliding window
Ignazio Gallo, Elisabetta Binaghi, Moreno Carullo, and Nicola Lamberti · 2008
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Zero-data learning of new tasks
Hugo Larochelle, Dumitru Erhan, and Yoshua Bengio · 2008
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Named entity recognition in query
Jiafeng Guo, Gu Xu, Xueqi Cheng, and Hang Li · 2009
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Burr Settles · 2009
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Entity disambiguation for knowledge base population
Mark Dredze, Paul McNamee, Delip Rao, Adam Gerber, Tim Finin, et al · 2010
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Named entity recognition using support vector machine: A language independent approach
Asif Ekbal and Sivaji Bandyopadhyay · 2010
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Deep learning for efficient discriminative parsing
Ronan Collobert · 2011
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A systematic review of named entity recognition in biomedical texts
Rodrigo Rafael Villarreal Goulart, Vera Lúcia Strube de Lima, and Clarissa Castellã Xavier · 2011
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Cascades de transducteurs autour de la reconnaissance des entités nommées
Denis Maurel, Nathalie Friburger, Jean-Yves Antoine, Iris Eshkol, and Damien Nouvel · 2011
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An unsupervised measure of the degree of belonging of an entity to a type
Ludovic Bonnefoy, Patrice Bellot, and Michel Benoit · 2011
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Named entity recognition from biomedical text using svm
Zhenfei Ju, Jian Wang, and Fei Zhu · 2011
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Crf based name entity recognition (ner) in manipuri: A highly agglutinative indian language
Kishorjit Nongmeikapam, Tontang Shangkhunem, Ngariyanbam Mayekleima Chanu, Laisuhram Newton Singh, Bishworjit Salam, and Sivaji Bandyopadhyay · 2011
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Named entity recognition system for hindi language: a hybrid approach
Shilpi Srivastava, Mukund Sanglikar, and DC Kothari · 2011
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Named entity recognition using web document corpus
Wahiba Ben Abdessalem Karaa · 2011
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa · 2011
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Named entity recognition using hidden markov model (hmm)
Sudha Morwal, Nusrat Jahan, and Deepti Chopra · 2012
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Long short-term memory
Alex Graves and Alex Graves · 2012
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Crf-based czech named entity recognizer and consolidation of czech ner research
Michal Konkol and Miloslav Konopík · 2013
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Named entity recognition: fallacies, challenges and opportunities
Mónica Marrero, Julián Urbano, Sonia Sánchez-Cuadrado, Jorge Morato, and Juan Miguel Gómez-Berbís · 2013
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Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts
Shaodian Zhang and Noémie Elhadad · 2013
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Efficient estimation of word representations in vector space
Tomas Mikolov · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Attribute-based classification for zero-shot visual object categorization
Christoph H Lampert, Hannes Nickisch, and Stefan Harmeling · 2013
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A survey of arabic named entity recognition and classification
Khaled Shaalan · 2014
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Chemical named entities recognition: a review on approaches and applications
Safaa Eltyeb and Naomie Salim · 2014
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A hybrid approach to arabic named entity recognition
Khaled Shaalan and Mai Oudah · 2014
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Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
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Christopher D Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, and David McClosky · 2014
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Hybrid approach for named entity recognition
Kanwalpreet Singh Bajwa and Amardeep Kaur · 2015
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Bidirectional lstm-crf models for sequence tagging
Zhiheng Huang, Wei Xu, and Kai Yu · 2015
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An introduction to convolutional neural networks
Keiron O’Shea and Ryan Nash · 2015
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Simple and effective few-shot named entity recognition with structured nearest neighbor learning
Yi Yang and Arzoo Katiyar · 2020
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Scalable zero-shot entity linking with dense entity retrieval
Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, and Luke Zettlemoyer · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, et al · 2020
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Interpretable multi-dataset evaluation for named entity recognition
Jinlan Fu, Pengfei Liu, and Graham Neubig · 2020
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Named entity recognition and relation extraction: State-of-the-art
Zara Nasar, Syed Waqar Jaffry, and Muhammad Kamran Malik · 2021
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Locate and label: A two-stage identifier for nested named entity recognition
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Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
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Transfer learning for speech and language processing
Dong Wang and Thomas Fang Zheng · 2015
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Polyglot-ner: Massive multilingual named entity recognition
Rami Al-Rfou, Vivek Kulkarni, Bryan Perozzi, and Steven Skiena · 2015
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Domain adaption of named entity recognition to support credit risk assessment
Julio Cesar Salinas Alvarado, Karin Verspoor, and Timothy Baldwin · 2015
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Ml-cnn: A novel deep learning based disease named entity recognition architecture
Zhehuan Zhao, Zhihao Yang, Ling Luo, Yin Zhang, Lei Wang, Hongfei Lin, and Jian Wang · 2016
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Arabic named entity disambiguation using linked open data
Omar Al-Qawasmeh, Mohammad Al-Smadi, and Nisreen Fraihat · 2016
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Question answering over knowledge base with neural attention combining global knowledge information
Yuanzhe Zhang, Kang Liu, Shizhu He, Guoliang Ji, Zhanyi Liu, Hua Wu, and Jun Zhao · 2016
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Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, and Weiming Lu · 2021
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Ner-bert: A pre-trained model for low-resource entity tagging
Zihan Liu, Feijun Jiang, Yuxiang Hu, Chen Shi, and Pascale Fung · 2021
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An end-to-end solution for named entity recognition in ecommerce search
Xiang Cheng, Mitchell Bowden, Bhushan Ramesh Bhange, Priyanka Goyal, Thomas Packer, and Faizan Javed · 2021
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A pre-training and self-training approach for biomedical named entity recognition
Shang Gao, Olivera Kotevska, Alexandre Sorokine, and J Blair Christian · 2021
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Rethinking boundaries: End-to-end recognition of discontinuous mentions with pointer networks
Hao Fei, Donghong Ji, Bobo Li, Yijiang Liu, Yafeng Ren, and Fei Li · 2021
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Named entity recognition using knowledge graph embeddings and distilbert
Shreyansh Mehta, Mansi Radke, and Sagar Sunkle · 2021
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Named entity recognition method in network security domain based on bert-bilstm-crf
Bingjun He and Jianfeng Chen · 2021
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Joint bert model based cybersecurity named entity recognition
YuXuan Chen, Jianwei Ding, Dashuang Li, and Zhouguo Chen · 2021
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Chinese named entity recognition method based on bert
Yuan Chang, Lei Kong, Kejia Jia, and Qinglei Meng · 2021
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Named entity recognition of bert-bilstm-crf combined with self-attention
Lei Xu, Shuang Li, Yuchen Wang, and Lizhen Xu · 2021
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Arabic named entity recognition: A bert-bgru approach
Norah Alsaaran and Maha Alrabiah · 2021
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Named entity recognition based on reinforcement learning and adversarial training
Shi Peng, Yong Zhang, Yuanfang Yu, Haoyang Zuo, and Kai Zhang · 2021
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Named entity recognition as graph classification
Ismail Harrando and Raphaël Troncy · 2021
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The impact of using different annotation schemes on named entity recognition
Nasser Alshammari and Saad Alanazi · 2021
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Sentence augmentation for language translation using gpt-2
Ranto Sawai, Incheon Paik, and Ayato Kuwana · 2021
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A review: preprocessing techniques and data augmentation for sentiment analysis
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Aeda: An easier data augmentation technique for text classification
Akbar Karimi, Leonardo Rossi, and Andrea Prati · 2021
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Gpt3mix: Leveraging large-scale language models for text augmentation
Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee, and Woomyeong Park · 2021
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Template-based named entity recognition using bart
Leyang Cui, Yu Wu, Jian Liu, Sen Yang, and Yue Zhang · 2021
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Leveraging type descriptions for zero-shot named entity recognition and classification
Rami Aly, Andreas Vlachos, and Ryan McDonald · 2021
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Zero-shot learning in named-entity recognition with external knowledge
Nguyen Van Hoang, Soeren Hougaard Mulvad, Dexter Neo Yuan Rong, and Yang Yue · 2021
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T-NER: An all-round python library for transformer-based named entity recognition
Asahi Ushio and Jose Camacho-Collados · 2021
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Scideberta: Learning deberta for science technology documents and fine-tuning information extraction tasks
Yuna Jeong and Eunhui Kim · 2022
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Review of research on named entity recognition
Xiaole Li, Tianyu Wang, Yadan Pang, Jin Han, and Jin Shi · 2022
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Summarization with named entity recognition and salience detection
Jing Liu, Xiaodong He, and Jianfeng Gao · 2022
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Tracking anti-vax social movement using ai-based social media monitoring
Fahim K Sufi, Imran Razzak, and Ibrahim Khalil · 2022
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Roberta-based traditional chinese medicine named entity recognition model
Ming-Hsiang Su, Chin-Wei Lee, Chi-Lun Hsu, and Ruei-Cyuan Su · 2022
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Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, and Dinesh Kumar Vishwakarma · 2022
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Ncuee-nlp at semeval-2022 task 11: Chinese named entity recognition using the bert-bilstm-crf model
Lung-Hao Lee, Chien-Huan Lu, and Tzu-Mi Lin · 2022
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One improved model of named entity recognition by combining bert and bilstm-cnn for domain of chinese railway construction
Xiaojun Wu, Tianqi Zhang, Sheng Yuan, and Yuanfeng Yan · 2022
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Named entity recognition of chinese electronic medical records based on a hybrid neural network and medical mc-bert
Peng Chen, Meng Zhang, Xiaosheng Yu, and Songpu Li · 2022
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Crosslingual generalization through multitask finetuning
Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M Saiful Bari, Sheng Shen, Zheng-Xin Yong, Hailey Schoelkopf, et al · 2022
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Entities, dates, and languages: Zero-shot on historical texts with t0
Francesco De Toni, Christopher Akiki, Javier De La Rosa, Clémentine Fourrier, Enrique Manjavacas, Stefan Schweter, and Daniel Van Strien · 2022
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Leveraging large language models for multiple choice question answering
Joshua Robinson, Christopher Michael Rytting, and David Wingate · 2022
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Mgcn: A novel multi-graph collaborative network for chinese ner
Yingqi Zhang, Wenjun Ma, and Yuncheng Jiang · 2022
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Learning from different text-image pairs: a relation-enhanced graph convolutional network for multimodal ner
Fei Zhao, Chunhui Li, Zhen Wu, Shangyu Xing, and Xinyu Dai · 2022
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Crop: Zero-shot cross-lingual named entity recognition with multilingual labeled sequence translation
Jian Yang, Shaohan Huang, Shuming Ma, Yuwei Yin, Li Dong, Dongdong Zhang, Hongcheng Guo, Zhoujun Li, and Furu Wei · 2022
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On the use of knowledge transfer techniques for biomedical named entity recognition
Tahir Mehmood, Ivan Serina, Alberto Lavelli, Luca Putelli, and Alfonso Gerevini · 2023
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Aioner: all-in-one scheme-based biomedical named entity recognition using deep learning
Ling Luo, Chih-Hsuan Wei, Po-Ting Lai, Robert Leaman, Qingyu Chen, and Zhiyong Lu · 2023
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Kalyani Pakhale · 2023
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A survey on named entity recognition—datasets, tools, and methodologies
Basra Jehangir, Saravanan Radhakrishnan, and Rahul Agarwal · 2023
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A survey on deep learning for chinese medical named entity recognition
Chenquan Dai, Xiaobin Zhuang, and Jiaxin Cai · 2023
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Named entity recognition and classification in historical documents: A survey
Maud Ehrmann, Ahmed Hamdi, Elvys Linhares Pontes, Matteo Romanello, and Antoine Doucet · 2023
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Promptner: Prompting for named entity recognition
Dhananjay Ashok and Zachary C Lipton · 2023
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Gaussian prior reinforcement learning for nested named entity recognition
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Detection of adverse drug events using electronic health records
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Admit: Improving ner in automotive domain with domain adversarial training and multi-task learning
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Moo-cmds+ ner: Named entity recognition-based extractive comment-oriented multi-document summarization
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Developing rule-based and gazetteer lists for named entity recognition in uzbek language: geographical names
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Minanto at semeval-2023 task 2: Fine-tuning xlm-roberta for named entity recognition on english data
Antonia Höfer and Mina Mottahedin · 2023
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Gliner: Generalist model for named entity recognition using bidirectional transformer
Urchade Zaratiana, Nadi Tomeh, Pierre Holat, and Thierry Charnois · 2023
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Llama: Open and efficient foundation language models
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Resolving elliptical compounds in german medical text
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Codeie: Large code generation models are better few-shot information extractors
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Self-improving for zero-shot named entity recognition with large language models
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Zero-shot clinical entity recognition using chatgpt
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Skd-ner: Continual named entity recognition via span-based knowledge distillation with reinforcement learning
Yi Chen and Liang He · 2023
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Negation-based transfer learning for improving biomedical named entity recognition and relation extraction
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A deep active learning-based and crowdsourcing-assisted solution for named entity recognition in chinese historical corpora
Chengxi Yan, Xuemei Tang, Hao Yang, and Jun Wang · 2023
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Template-free prompting for few-shot named entity recognition via semantic-enhanced contrastive learning
Kai He, Rui Mao, Yucheng Huang, Tieliang Gong, Chen Li, and Erik Cambria · 2023
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Yes but.. can chatgpt identify entities in historical documents?
Carlos-Emiliano González-Gallardo, Emanuela Boros, Nancy Girdhar, Ahmed Hamdi, Jose G Moreno, and Antoine Doucet · 2023
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Ridong Han, Tao Peng, Chaohao Yang, Benyou Wang, Lu Liu, and Xiang Wan · 2023
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Small models are valuable plug-ins for large language models
Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, and Julian McAuley · 2023
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Active learning design choices for ner with transformers
Robert Vacareanu, Enrique Noriega-Atala, Gus Hahn-Powell, Marco A Valenzuela-Escárcega, and Mihai Surdeanu · 2024
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Bert-based models with attention mechanism and lambda layer for biomedical named entity recognition
Yuning Shi and Masaomi Kimura · 2024
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Named entity recognition of rice genes and phenotypes based on bigru neural networks
Kangjie Wu, Liqian Xu, Xinxiang Li, Youhua Zhang, Zhenyu Yue, Yujia Gao, and Yiqiong Chen · 2024
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Development and validation of a natural language processing algorithm to pseudonymize documents in the context of a clinical data warehouse
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