Fetching the paper…
Reading the bibliography…
Nested entities are observed in many domains due to their compositionality, which cannot be easily recognized by the widely-used sequence labeling framework.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Genia corpus—a semantically annotated corpus for bio-textmining
J-D Kim, Tomoko Ohta, Yuka Tateisi, and Jun’ichi Tsujii. 2003 · 2003
Earlier work this paper cites.
The automatic content extraction (ace) program-tasks, data, and evaluation
George R Doddington, Alexis Mitchell, Mark A Przybocki, Lance A Ramshaw, Stephanie M Strassel, and Ralph M Weischedel. 2004 · 2004
Earlier work this paper cites.
Enhancing hmm-based biomedical named entity recognition by studying special phenomena
Jie Zhang, Dan Shen, Guodong Zhou, Jian Su, and Chew-Lim Tan. 2004 · 2004
Earlier work this paper cites.
Recognising nested named entities in biomedical text
Beatrice Alex, Barry Haddow, and Claire Grover. 2007 · 2007
Earlier work this paper cites.
Nested named entity recognition
Jenny Rose Finkel and Christopher D Manning. 2009 · 2009
Earlier work this paper cites.
Joint mention extraction and classification with mention hypergraphs
Wei Lu and Dan Roth. 2015 · 2015
Earlier work this paper cites.
Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
Earlier work this paper cites.
Enriching word vectors with subword information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
Earlier work this paper cites.
Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher D. Manning. 2017 · 2017
Earlier work this paper cites.
Overview of tac-kbp2017 13 languages entity discovery and linking
Heng Ji, Xiaoman Pan, Boliang Zhang, Joel Nothman, James Mayfield, Paul McNamee, and Cash Costello. 2017 · 2017
Earlier work this paper cites.
A neural layered model for nested named entity recognition
Meizhi Ju, Makoto Miwa, and Sophia Ananiadou. 2018 · 2018
Earlier work this paper cites.
Nested named entity recognition revisited
Arzoo Katiyar and Claire Cardie. 2018 · 2018
Earlier work this paper cites.
Neural segmental hypergraphs for overlapping mention recognition
Bailin Wang and Wei Lu. 2018 · 2018
Earlier work this paper cites.
A neural transition-based model for nested mention recognition
Bailin Wang, Wei Lu, Yu Wang, and Hongxia Jin. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Merge and label: A novel neural network architecture for nested NER
Joseph Fisher and Andreas Vlachos. 2019 · 2019
Cited alongside, same era.
Dependency or span, end-to-end uniform semantic role labeling
Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, and Xiang Zhou. 2019 · 2019
Cited alongside, same era.
Sequence-to-nuggets: Nested entity mention detection via anchor-region networks
Hongyu Lin, Yaojie Lu, Xianpei Han, and Le Sun. 2019 · 2019
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
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 · 2020
Later among the works it cites.
High-order semantic role labeling
Zuchao Li, Hai Zhao, Rui Wang, and Kevin Parnow. 2020b · 2020
Later among the works it cites.
Bipartite flat-graph network for nested named entity recognition
Ying Luo and Hai Zhao. 2020 · 2020
Later among the works it cites.
Nested named entity recognition via second-best sequence learning and decoding
Takashi Shibuya and Eduard Hovy. 2020 · 2020
Later among the works it cites.
Boundary enhanced neural span classification for nested named entity recognition
Chuanqi Tan, Wei Qiu, Mosha Chen, Rui Wang, and Fei Huang. 2020 · 2020
Later among the works it cites.
Pyramid: A layered model for nested named entity recognition
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
A general framework for information extraction using dynamic span graphs
Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, and Hannaneh Hajishirzi. 2019 · 2019
Cited alongside, same era.
Neural architectures for nested NER through linearization
Jana Straková, Milan Straka, and Jan Hajic. 2019 · 2019
Cited alongside, same era.
Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi. 2019 · 2019
Cited alongside, same era.
Second-order semantic dependency parsing with end-to-end neural networks
Xinyu Wang, Jingxian Huang, and Kewei Tu. 2019 · 2019
Cited alongside, same era.
Multi-grained named entity recognition
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, and Philip Yu. 2019 · 2019
Cited alongside, same era.
Biowordvec, improving biomedical word embeddings with subword information and mesh
Yijia Zhang, Qingyu Chen, Zhihao Yang, Hongfei Lin, and Zhiyong Lu. 2019 · 2019
Cited alongside, same era.
Jue Wang, Lidan Shou, Ke Chen, and Gang Chen. 2020 · 2020
Later among the works it cites.
Named entity recognition as dependency parsing
Juntao Yu, Bernd Bohnet, and Massimo Poesio. 2020 · 2020
Later among the works it cites.
Unsupervised multi-granular chinese word segmentation and term discovery via graph partition
Zheng Yuan, Yuanhao Liu, Qiuyang Yin, Boyao Li, Xiaobin Feng, Guoming Zhang, and Sheng Yu. 2020 · 2020
Later among the works it cites.
Efficient second-order TreeCRF for neural dependency parsing
Yu Zhang, Zhenghua Li, and Min Zhang. 2020 · 2020
Later among the works it cites.
Nested named entity recognition with partially-observed treecrfs
Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, and Fei Huang. 2021 · 2021
Closest in time.
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 · 2021
Closest in time.
A sequence-to-set network for nested named entity recognition
Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, and Yueting Zhuang. 2021 · 2021
Closest in time.
A unified generative framework for various NER subtasks
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, and Xipeng Qiu. 2021 · 2021
Closest in time.
A frustratingly easy approach for entity and relation extraction
Zexuan Zhong and Danqi Chen. 2021 · 2021
Closest in time.