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In the domain of Natural Language Processing (NLP), Named Entity Recognition (NER) stands out as a pivotal mechanism for extracting structured insights from unstructured text.
Techniques for named entity recognition: a survey
Girish Keshav Palshikar · 2013
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Named entity recognition with bidirectional lstm-cnns
Jason PC Chiu and Eric Nichols · 2016
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer · 2016
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Improving language understanding with unsupervised learning
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever · 2018
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Dissecting contextual word embeddings: Architecture and representation
Matthew E Peters, Mark Neumann, Luke Zettlemoyer, and Wen-tau Yih · 2018
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Distantly supervised ner with partial annotation learning and reinforcement learning
Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He, and Min Zhang · 2018
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Comprehend medical: a named entity recognition and relationship extraction web service
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, and Selvan Senthivel · 2019
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A study on machine learning approaches for named entity recognition
Amrita Anandika and Smita Prava Mishra · 2019
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A bert baseline for the natural questions
Chris Alberti, Kenton Lee, and Michael Collins · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Few-shot classification in named entity recognition task
Alexander Fritzler, Varvara Logacheva, and Maksim Kretov · 2019
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A survey on deep learning for named entity recognition
Jing Li, Aixin Sun, Jianglei Han, and Chenliang Li · 2020
Cited alongside, same era.
Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang · 2020
Cited alongside, same era.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Cited alongside, same era.
Vibertgrid: a jointly trained multi-modal 2d document representation for key information extraction from documents
Weihong Lin, Qifang Gao, Lei Sun, Zhuoyao Zhong, Kai Hu, Qin Ren, and Qiang Huo · 2021
Cited alongside, same era.
Combination of natural language understanding and reinforcement learning for booking bot
Dinda Ayu Permatasari and Devira Anggi Maharani · 2021
Cited alongside, same era.
Gaussian prior reinforcement learning for nested named entity recognition
Yawen Yang, Xuming Hu, Fukun Ma, Aiwei Liu, Lijie Wen, S Yu Philip, et al · 2023
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E-ner: Evidential deep learning for trustworthy named entity recognition
Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, and Bingzhe Wu · 2023
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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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Improving domain-specific retrieval by nli fine-tuning
Roman Dušek, Aleksander Wawer, Christopher Galias, and Lidia Wojciechowska · 2023
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Explaining bert model decisions for near-duplicate news article detection based on named entity recognition
Anne Stockem Novo and Fatih Gedikli · 2023
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Multi-layout invoice document dataset (midd): a dataset for named entity recognition
Dipali Baviskar, Swati Ahirrao, and Ketan Kotecha · 2021
Cited alongside, same era.
Document ai: Benchmarks, models and applications
Lei Cui, Yiheng Xu, Tengchao Lv, and Furu Wei · 2021
Cited alongside, same era.
Distantly supervised named entity recognition with category-oriented confidence calibration
Liangping Ding, Tian-Yuan Huang, Huan Liu, Yufei Wang, and Zhixiong Zhang · 2022
Cited alongside, same era.
Lamda: Language models for dialog applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, et al · 2022
Cited alongside, same era.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2022
Cited alongside, same era.
Pretrained transformers for text ranking: Bert and beyond
Jimmy Lin, Rodrigo Nogueira, and Andrew Yates · 2022
Cited alongside, same era.
Closest in time.
Ridong Han, Tao Peng, Chaohao Yang, Benyou Wang, Lu Liu, and Xiang Wan · 2023
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Promptner: Prompting for named entity recognition
Dhananjay Ashok and Zachary C Lipton · 2023
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Promptner: A prompting method for few-shot named entity recognition via k nearest neighbor search
Mozhi Zhang, Hang Yan, Yaqian Zhou, and Xipeng Qiu · 2023
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Pixiu: A large language model, instruction data and evaluation benchmark for finance
Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, and Jimin Huang · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Comparative study of different optical character recognition models on handwritten and printed medical reports
Anand Kumar, Pardeep Singh, and Kusum Lata · 2023
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