Fetching the paper…
Reading the bibliography…
In nested Named entity recognition (NER), entities are nested with each other, and thus requiring more data annotations to address.
“Introduction to the CoNLL-2003 shared task: Language-independent named entity recognition,”
Erik F. Tjong Kim Sang and Fien De Meulder, · 2003
Earlier work this paper cites.
“Learning a similarity metric discriminatively, with application to face verification,”
Sumit Chopra, Raia Hadsell, and Yann LeCun, · 2005
Earlier work this paper cites.
“Nested named entity recognition,”
Jenny Rose Finkel and Christopher D. Manning, · 2009
Earlier work this paper cites.
“Joint mention extraction and classification with mention hypergraphs,”
Wei Lu and Dan Roth, · 2015
Earlier work this paper cites.
“A neural layered model for nested named entity recognition,”
Meizhi Ju, Makoto Miwa, and Sophia Ananiadou, · 2018
Earlier work this paper cites.
“BERT: Pre-training of deep bidirectional transformers for language understanding,”
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova, · 2019
Earlier work this paper cites.
“Boundaries and edges rethinking: An end-to-end neural model for overlapping entity relation extraction,”
Hao Fei, Yafeng Ren, and Donghong Ji, · 2020
Earlier work this paper cites.
“Exploring the limits of transfer learning with a unified text-to-text transformer,”
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu, · 2020
Earlier work this paper cites.
“Few-shot named entity recognition: A comprehensive study,”
Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, and Jiawei Han, · 2020
Cited alongside, same era.
“Language models are few-shot learners,”
Tom B. Brown, Benjamin Mann, Ilya Sutskever, and Dario Amodei, · 2020
Cited alongside, same era.
“A unified generative framework for various NER subtasks,”
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, and Xipeng Qiu, · 2021
Cited alongside, same era.
“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
Cited alongside, same era.
“Better combine them together! integrating syntactic constituency and dependency representations for semantic role labeling,”
Hao Fei, Shengqiong Wu, Yafeng Ren, Fei Li, and Donghong Ji, · 2021
Cited alongside, same era.
“Few-shot named entity recognition with self-describing networks,”
Jiawei Chen, Qing Liu, Hongyu Lin, Xianpei Han, and Le Sun, · 2022
Later among the works it cites.
“Rethinking the role of demonstrations: What makes in-context learning work?,”
Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, and Luke Zettlemoyer, · 2022
Later among the works it cites.
“SEE-few: Seed, expand and entail for few-shot named entity recognition,”
Zeng Yang, Linhai Zhang, and Deyu Zhou, · 2022
Later among the works it cites.
“An enhanced span-based decomposition method for few-shot sequence labeling,”
Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, and Zhifang Sui, · 2022
Later among the works it cites.
“Unified named entity recognition as word-word relation classification,”
Jingye Li, Hao Fei, Jiang Liu, Meishan Zhang, Chong Teng, Donghong Ji, and Fei Li, · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“Locate and label: A two-stage identifier for nested named entity recognition,”
Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, and Weiming Lu, · 2021
Cited alongside, same era.
“Lasuie: Unifying information extraction with latent adaptive structure-aware generative language model,”
Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, and Tat-Seng Chua, · 2022
Cited alongside, same era.
Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, and Tat-Seng Chua, · 2023
Later among the works it cites.
“Focusing, bridging and prompting for few-shot nested named entity recognition,”
Yuanyuan Xu, Zeng Yang, Linhai Zhang, Deyu Zhou, Tiandeng Wu, and Rong Zhou, · 2023
Later among the works it cites.