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Bootstrapping has become the mainstream method for entity set expansion.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J. Williams. 1992 · 1992
Earlier work this paper cites.
Automatically Generating Extraction Patterns from Untagged Text
Ellen Riloff. 1996 · 1996
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Learning dictionaries for information extraction by multi-level bootstrapping
Ellen Riloff and Rosie Jones. 1999 · 1999
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Learning surface text patterns for a question answering system
Deepak Ravichandran and Eduard Hovy. 2002 · 2002
Earlier work this paper cites.
A bootstrapping method for learning semantic lexicons using extraction pattern contexts
Michael Thelen and Ellen Riloff. 2002 · 2002
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Unsupervised learning of generalized names
Roman Yangarber, Winston Lin, and Ralph Grishman. 2002 · 2002
Earlier work this paper cites.
Minimising semantic drift with mutual exclusion bootstrapping
James R. Curran, Tara Murphy, and Bernhard Scholz. 2007 · 2007
Earlier work this paper cites.
Reducing semantic drift with bagging and distributional similarity
Tara McIntosh and James R. Curran. 2009 · 2009
Earlier work this paper cites.
Coupled semi-supervised learning for information extraction
Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., and Tom M. Mitchell. 2010 · 2010
Earlier work this paper cites.
Person name disambiguation by bootstrapping
Minoru Yoshida, Masaki Ikeda, Shingo Ono, Issei Sato, and Hiroshi Nakagawa. 2010 · 2010
Earlier work this paper cites.
Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
Tijmen Tieleman and Geoffrey Hinton. 2012 · 2012
Earlier work this paper cites.
Bootstrapping entity translation on weakly comparable corpora
Taesung Lee and Seung-won Hwang. 2013 · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Improved pattern learning for bootstrapped entity extraction
Sonal Gupta and Christopher Manning. 2014 · 2014
Cited alongside, same era.
A probabilistic co-bootstrapping method for entity set expansion
Bei Shi, Zhenzhong Zhang, Le Sun, and Xianpei Han. 2014 · 2014
Cited alongside, same era.
Bootstrapped self training for knowledge base population
Gabor Angeli, Victor Zhong, Danqi Chen, Arun Tejasvi Chaganty, Jason Bolton, Melvin Jose Johnson Premkumar, Panupong Pasupat, Sonal Gupta, and Christopher D Manning. 2015 · 2015
Cited alongside, same era.
Semi-supervised bootstrapping of relationship extractors with distributional semantics
David S. Batista, Bruno Martins, and Mário J. Silva. 2015 · 2015
Cited alongside, same era.
Distributed representations of words to guide bootstrapped entity classifiers
Learning adversarial networks for semi-supervised text classification via policy gradient
Yan Li and Jieping Ye. 2018 · 2018
Later among the works it cites.
DSGAN: Generative adversarial training for distant supervision relation extraction
Pengda Qin, Weiran Xu, and William Yang Wang. 2018 · 2018
Later among the works it cites.
Improving neural machine translation with conditional sequence generative adversarial nets
Zhen Yang, Wei Chen, Feng Wang, and Bo Xu. 2018 · 2018
Later among the works it cites.
Fast graph representation learning with PyTorch Geometric
Matthias Fey and Jan E. Lenssen. 2019 · 2019
Later among the works it cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
Later among the works it cites.
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Sonal Gupta and Christopher D. Manning. 2015 · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
Unsupervised and semi-supervised learning with categorical generative adversarial networks
Jost Tobias Springenberg. 2016 · 2016
Cited alongside, same era.
Adversarial ranking for language generation
Kevin Lin, Dianqi Li, Xiaodong He, Ming-Ting Sun, and Zhengyou Zhang. 2017 · 2017
Cited alongside, same era.
Bootstrapping for numerical open IE
Swarnadeep Saha, Harinder Pal, and Mausam. 2017 · 2017
Cited alongside, same era.
Seqgan: Sequence generative adversarial nets with policy gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. 2017 · 2017
Cited alongside, same era.
End-to-End Bootstrapping Neural Network for Entity Set Expansion
Lingyong Yan, Xianpei Han, Ben He, and Le Sun. 2020a
Cited in the paper.
Adversarial training for weakly supervised event detection
Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, and Peng Li. 2019 · 2019
Later among the works it cites.
Learning to bootstrap for entity set expansion
Lingyong Yan, Xianpei Han, Le Sun, and Ben He. 2019 · 2019
Later among the works it cites.
Lightly-supervised representation learning with global interpretability
Andrew Zupon, Maria Alexeeva, Marco Valenzuela-Escárcega, Ajay Nagesh, and Mihai Surdeanu. 2019 · 2019
Later among the works it cites.
Global bootstrapping neural network for entity set expansion
Lingyong Yan, Xianpei Han, Ben He, and Le Sun. 2020b · 2020
Later among the works it cites.
Empower entity set expansion via language model probing
Yunyi Zhang, Jiaming Shen, Jingbo Shang, and Jiawei Han. 2020 · 2020
Later among the works it cites.
Visual supervision in bootstrapped information extraction
Matthew Berger, Ajay Nagesh, Joshua Levine, Mihai Surdeanu, and Helen Zhang. 2018 · 2053
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