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In this paper, we propose DiffusionNER, which formulates the named entity recognition task as a boundary-denoising diffusion process and thus generates named entities from noisy spans.
Tener: adapting transformer encoder for named entity recognition
Hang Yan, Bocao Deng, Xiaonan Li, and Xipeng Qiu. 2019 · 1911
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The hungarian method for the assignment problem
Harold W Kuhn. 1955 · 1955
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The genia corpus: An annotated research abstract corpus in molecular biology domain
Tomoko Ohta, Yuka Tateisi, and Jin-Dong Kim. 2002 · 2002
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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 · 2003
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The automatic content extraction (ACE) program – tasks, data, and evaluation
George Doddington, Alexis Mitchell, Mark Przybocki, Lance Ramshaw, Stephanie Strassel, and Ralph Weischedel. 2004 · 2004
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Ace 2005 multilingual training corpus. linguistic
Christopher Walker, Stephanie Strassel, and Kazuaki Maeda. 2006 · 2005
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The third international Chinese language processing bakeoff: Word segmentation and named entity recognition
Gina-Anne Levow. 2006 · 2006
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Event extraction as dependency parsing
David McClosky, Mihai Surdeanu, and Christopher Manning. 2011 · 2011
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Towards robust linguistic analysis using OntoNotes
Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Hwee Tou Ng, Anders Björkelund, Olga Uryupina, Yuchen Zhang, and Zhi Zhong. 2013 · 2013
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Incremental joint extraction of entity mentions and relations
Qi Li and Heng Ji. 2014 · 2014
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli. 2015 · 2015
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How to train good word embeddings for biomedical NLP
Billy Chiu, Gamal Crichton, Anna Korhonen, and Sampo Pyysalo. 2016 · 2016
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Named Entity Recognition with Bidirectional LSTM-CNNs
Jason P.C. Chiu and Eric Nichols. 2016 · 2016
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End-to-end relation extraction using LSTMs on sequences and tree structures
Makoto Miwa and Mohit Bansal. 2016 · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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A neural layered model for nested named entity recognition
Meizhi Ju, Makoto Miwa, and Sophia Ananiadou. 2018 · 2018
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Nested named entity recognition revisited
Arzoo Katiyar and Claire Cardie. 2018 · 2018
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Deep exhaustive model for nested named entity recognition
Mohammad Golam Sohrab and Makoto Miwa. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Sequence-to-nuggets: Nested entity mention detection via anchor-region networks
Hongyu Lin, Yaojie Lu, Xianpei Han, and Le Sun. 2019 · 2019
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Neural architectures for nested NER through linearization
Jana Straková, Milan Straka, and Jan Hajic. 2019 · 2019
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Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi. 2019 · 2019
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Augmented natural language for generative sequence labeling
Ben Athiwaratkun, Cicero Nogueira dos Santos, Jason Krone, and Bing Xiang. 2020 · 2020
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko. 2020 · 2020
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Revisiting pre-trained models for Chinese natural language processing
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, and Guoping Hu. 2020 · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon. 2021 · 2021
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A sequence-to-set network for nested named entity recognition
Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, and Yueting Zhuang. 2021 · 2021
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Label-efficient semantic segmentation with diffusion models
Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, and Artem Babenko. 2022 · 2022
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Diffusiondet: Diffusion model for object detection
Shoufa Chen, Peize Sun, Yibing Song, and Ping Luo. 2022 · 2022
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Diffuseq: Sequence to sequence text generation with diffusion models
Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, and Lingpeng Kong. 2022 · 2022
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Span-based joint entity and relation extraction with transformer pre-training
Markus Eberts and Adrian Ulges. 2020 · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
Cited alongside, same era.
BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Cited alongside, same era.
A unified MRC framework for named entity recognition
Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, and Jiwei Li. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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Pyramid: A layered model for nested named entity recognition
Jue Wang, Lidan Shou, Ke Chen, and Gang Chen. 2020 · 2020
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Named entity recognition as dependency parsing
Juntao Yu, Bernd Bohnet, and Massimo Poesio. 2020 · 2020
Cited alongside, same era.
Zhengfu He, Tianxiang Sun, Kuanning Wang, Xuanjing Huang, and Xipeng Qiu. 2022 · 2022
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Autoregressive diffusion models
Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, and Tim Salimans. 2022 · 2022
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Pyramid-BERT: Reducing complexity via successive core-set based token selection
Xin Huang, Ashish Khetan, Rene Bidart, and Zohar Karnin. 2022 · 2022
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Nested named entity recognition as latent lexicalized constituency parsing
Chao Lou, Songlin Yang, and Kewei Tu. 2022 · 2022
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Unified structure generation for universal information extraction
Yaojie Lu, Qing Liu, Dai Dai, Xinyan Xiao, Hongyu Lin, Xianpei Han, Le Sun, and Hua Wu. 2022 · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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Parallel instance query network for named entity recognition
Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, and Yueting Zhuang. 2022 · 2022
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Self-conditioned embedding diffusion for text generation
Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, et al. 2022 · 2022
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Nested named entity recognition with span-level graphs
Juncheng Wan, Dongyu Ru, Weinan Zhang, and Yong Yu. 2022 · 2022
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Propose-and-refine: A two-stage set prediction network for nested named entity recognition
Shuhui Wu, Yongliang Shen, Zeqi Tan, and Weiming Lu. 2022 · 2022
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Fusing heterogeneous factors with triaffine mechanism for nested named entity recognition
Zheng Yuan, Chuanqi Tan, Songfang Huang, and Fei Huang. 2022b · 2022
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De-bias for generative extraction in unified NER task
Shuai Zhang, Yongliang Shen, Zeqi Tan, Yiquan Wu, and Weiming Lu. 2022 · 2022
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Boundary smoothing for named entity recognition
Enwei Zhu and Jinpeng Li. 2022 · 2022
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