Fetching the paper…
Reading the bibliography…
Sequential labeling-based NER approaches restrict each word belonging to at most one entity mention, which will face a serious problem when recognizing nested entity mentions.
Head-driven phrase structure grammar
Carl Pollard and Ivan A Sag. 1994 · 1994
Earlier work this paper cites.
Named entity recognition: a maximum entropy approach using global information
Hai Leong Chieu and Hwee Tou Ng. 2002 · 2002
Earlier work this paper cites.
Named entity recognition using an hmm-based chunk tagger
GuoDong Zhou and Jian Su. 2002 · 2002
Earlier work this paper cites.
Maximum entropy models for named entity recognition
Oliver Bender, Franz Josef Och, and Hermann Ney. 2003 · 2003
Earlier work this paper cites.
Head-driven statistical models for natural language parsing
Michael Collins. 2003 · 2003
Earlier work this paper cites.
Biomedical named entity recognition using conditional random fields and rich feature sets
Burr Settles. 2004 · 2004
Earlier work this paper cites.
Exploring various knowledge in relation extraction
Zhou GuoDong, Su Jian, Zhang Jie, and Zhang Min. 2005 · 2005
Earlier work this paper cites.
Multi-instance multi-label learning with application to scene classification
Zhi-Hua Zhou and Min-Ling Zhang. 2007 · 2007
Earlier work this paper cites.
Refining event extraction through cross-document inference
Heng Ji and Ralph Grishman. 2008 · 2008
Earlier work this paper cites.
Nested named entity recognition
Jenny Rose Finkel and Christopher D Manning. 2009 · 2009
Earlier work this paper cites.
Distant supervision for relation extraction without labeled data
Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009 · 2009
Earlier work this paper cites.
Multi-instance learning by treating instances as non-iid samples
Zhi-Hua Zhou, Yu-Yin Sun, and Yu-Feng Li. 2009 · 2009
Earlier work this paper cites.
Multi-instance multi-label learning for relation extraction
Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, and Christopher D Manning. 2012 · 2012
Earlier work this paper cites.
Adadelta: an adaptive learning rate method
Matthew D Zeiler. 2012 · 2012
Cited alongside, same era.
Joint event extraction via structured prediction with global features
Qi Li, Heng Ji, and Liang Huang. 2013 · 2013
Cited alongside, same era.
The stanford corenlp natural language processing toolkit
Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, and David McClosky. 2014 · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
Cited alongside, same era.
Event extraction via dynamic multi-pooling convolutional neural networks
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, and Jun Zhao. 2015 · 2015
Cited alongside, same era.
Joint mention extraction and classification with mention hypergraphs
Deep semantic role labeling: What works and what’s next
Luheng He, Kenton Lee, Mike Lewis, and Luke Zettlemoyer. 2017 · 2017
Later among the works it cites.
Overview of tac-kbp2017 13 languages entity discovery and linking
Heng Ji, Xiaoman Pan, Boliang Zhang, Joel Nothman, James Mayfield, Paul McNamee, Cash Costello, and Sydney Informatics Hub. 2017 · 2017
Later among the works it cites.
Labeling gaps between words: Recognizing overlapping mentions with mention separators
Aldrian Obaja Muis and Wei Lu. 2017 · 2017
Later among the works it cites.
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
Later among the works it cites.
A local detection approach for named entity recognition and mention detection
Mingbin Xu, Hui Jiang, and Sedtawut Watcharawittayakul. 2017 · 2017
Later among the works it cites.
Ultra-fine entity typing
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Wei Lu and Dan Roth. 2015 · 2015
Cited alongside, same era.
Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015 · 2015
Cited alongside, same era.
End-to-end learning of semantic role labeling using recurrent neural networks
Jie Zhou and Wei Xu. 2015 · 2015
Cited alongside, same era.
Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
Cited alongside, same era.
Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Machine comprehension using match-lstm and answer pointer
Shuohang Wang and Jing Jiang. 2016 · 2016
Cited alongside, same era.
Multi-perspective context matching for machine comprehension
Zhiguo Wang, Haitao Mi, Wael Hamza, and Radu Florian. 2016 · 2016
Cited alongside, same era.
Eunsol Choi, Omer Levy, Yejin Choi, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
A neural layered model for nested named entity recognition
Meizhi Ju, Makoto Miwa, and Sophia Ananiadou. 2018 · 2018
Later among the works it cites.
Nested named entity recognition revisited
Arzoo Katiyar and Claire Cardie. 2018 · 2018
Later among the works it cites.
Nugget proposal networks for chinese event detection
Hongyu Lin, Yaojie Lu, Xianpei Han, and Le Sun. 2018 · 2018
Later among the works it cites.
Deep exhaustive model for nested named entity recognition
Mohammad Golam Sohrab and Makoto Miwa. 2018 · 2018
Later among the works it cites.
Neural segmental hypergraphs for overlapping mention recognition
Bailin Wang and Wei Lu. 2018 · 2018
Later among the works it cites.
A neural transition-based model for nested mention recognition
Bailin Wang, Wei Lu, Yu Wang, and Hongxia Jin. 2018 · 2018
Later among the works it cites.