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Multimodal Named Entity Recognition (MNER) on social media aims to enhance textual entity prediction by incorporating image-based clues.
Language models are few-shot learners
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Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1911
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Microsoft coco: Common objects in context
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Bidirectional lstm-crf models for sequence tagging
Zhiheng Huang, Wei Xu, and Kai Yu. 2015 · 2015
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Named entity recognition with bidirectional lstm-cnns
Jason PC Chiu and Eric Nichols. 2016 · 2016
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2017 · 2017
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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 · 2018
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Multimodal named entity recognition for short social media posts
Seungwhan Moon, Leonardo Neves, and Vitor Carvalho. 2018 · 2018
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Adaptive co-attention network for named entity recognition in tweets
Qi Zhang, Jinlan Fu, Xiaoyu Liu, and Xuanjing Huang. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019 · 2019
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Improving multimodal named entity recognition via entity span detection with unified multimodal transformer
Jianfei Yu, Jing Jiang, Li Yang, and Rui Xia. 2020 · 2020
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Object-aware multimodal named entity recognition in social media posts with adversarial learning
Changmeng Zheng, Zhiwei Wu, Tao Wang, Yi Cai, and Qing Li. 2020 · 2020
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Promptmner: Prompt-based entity-related visual clue extraction and integration for multimodal named entity recognition
Xuwu Wang, Junfeng Tian, Min Gui, Zhixu Li, Jiabo Ye, Ming Yan, and Yanghua Xiao. 2022b · 2022
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Cat-mner: Multimodal named entity recognition with knowledge-refined cross-modal attention
Xuwu Wang, Jiabo Ye, Zhixu Li, Junfeng Tian, Yong Jiang, Ming Yan, Ji Zhang, and Yanghua Xiao. 2022c · 2022
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An empirical study of gpt-3 for few-shot knowledge-based vqa
Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, and Lijuan Wang. 2022 · 2022
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Domain-specific ner via retrieving correlated samples
Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, and Meishan Zhang. 2022 · 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 · 2022
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Good examples make a faster learner: Simple demonstration-based learning for low-resource ner
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What makes good in-context examples for gpt- 3 3 ?
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Multi-modal graph fusion for named entity recognition with targeted visual guidance
Dong Zhang, Suzhong Wei, Shoushan Li, Hanqian Wu, Qiaoming Zhu, and Guodong Zhou. 2021 · 2021
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Mner-qg: An end-to-end mrc framework for multimodal named entity recognition with query grounding
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