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Conventional closed-world information extraction (IE) approaches rely on human ontologies to define the scope for extraction.
Comparing partitions
Lawrence Hubert and Phipps Arabie. 1985 · 1985
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Entity-based cross-document coreferencing using the vector space model
Amit Bagga and Breck Baldwin. 1998 · 1998
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Combining labeled and unlabeled data with co-training
Avrim Blum and Tom. Mitchell. 1998 · 1998
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Discovering relations among named entities from large corpora
Takaaki Hasegawa, Satoshi Sekine, and Ralph Grishman. 2004 · 2004
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Preemptive information extraction using unrestricted relation discovery
Yusuke Shinyama and Satoshi Sekine. 2006 · 2006
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V-measure: A conditional entropy-based external cluster evaluation measure
Andrew Rosenberg and Julia Hirschberg. 2007 · 2007
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Open information extraction from the web
Michele Banko, Michael J. Cafarella, Stephen Soderland, Matthew Broadhead, and Oren Etzioni. 2008 · 2008
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Fast unfolding of communities in large networks
Vincent D. Blondel, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre. 2008 · 2008
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Knowledge base population: Successful approaches and challenges
Heng Ji and Ralph Grishman. 2011 · 2011
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Structured relation discovery using generative models
Limin Yao, Aria Haghighi, Sebastian Riedel, and Andrew McCallum. 2011 · 2011
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Ensemble semantics for large-scale unsupervised relation extraction
Bonan Min, Shuming Shi, Ralph Grishman, and Chin-Yew Lin. 2012 · 2012
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Unsupervised relation discovery with sense disambiguation
Limin Yao, Sebastian Riedel, and Andrew McCallum. 2012 · 2012
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Unsupervised relation extraction with general domain knowledge
Oier Lopez de Lacalle and Mirella Lapata. 2013 · 2013
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On implementing 2d rectangular assignment algorithms
David Frederic Crouse. 2016 · 2016
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Discrete-state variational autoencoders for joint discovery and factorization of relations
Diego Marcheggiani and Ivan Titov. 2016 · 2016
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Open relation extraction and grounding
Dian Yu, Lifu Huang, and Heng Ji. 2017 · 2017
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Position-aware attention and supervised data improve slot filling
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D. Manning. 2017 · 2017
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FewRel: A large-scale supervised few-shot relation classification dataset with state-of-the-art evaluation
Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
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Learning to cluster in order to transfer across domains and tasks
Yen-Chang Hsu, Zhaoyang Lv, and Zsolt Kira. 2018 · 2018
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Hearst patterns revisited: Automatic hypernym detection from large text corpora
SelfORE: Self-supervised relational feature learning for open relation extraction
Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, and Philip Yu. 2020 · 2020
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Corel: Seed-guided topical taxonomy construction by concept learning and relation transferring
Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, and Jiawei Han. 2020 · 2020
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Semi-supervised new event type induction and event detection
Lifu Huang and Heng Ji. 2020 · 2020
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A joint neural model for information extraction with global features
Ying Lin, Heng Ji, Fei Huang, and Lingfei Wu. 2020 · 2020
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SynSetExpan: An iterative framework for joint entity set expansion and synonym discovery
Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, and Jiawei Han. 2020 · 2020
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Stephen Roller, Douwe Kiela, and Maximilian Nickel. 2018 · 2018
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Every child should have parents: A taxonomy refinement algorithm based on hyperbolic term embeddings
Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann, and Alexander Panchenko. 2019 · 2019
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Matching the blanks: Distributional similarity for relation learning
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, and Tom Kwiatkowski. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Hierarchical multi-task word embedding learning for synonym prediction
Hongliang Fei, Shulong Tan, and Ping Li. 2019 · 2019
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SemEval-2019 task 2: Unsupervised lexical frame induction
Behrang QasemiZadeh, Miriam R. L. Petruck, Regina Stodden, Laura Kallmeyer, and Marie Candito. 2019 · 2019
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Unsupervised information extraction: Regularizing discriminative approaches with relation distribution losses
Étienne Simon, Vincent Guigue, and Benjamin Piwowarski. 2019 · 2019
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Thy Thy Tran, Phong Le, and Sophia Ananiadou. 2020 · 2020
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Constructing taxonomies from pretrained language models
Catherine Chen, Kevin Lin, and Dan Klein. 2021 · 2021
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SimCSE: Simple contrastive learning of sentence embeddings
Tianyu Gao, Xingcheng Yao, and Danqi Chen. 2021 · 2021
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Document-level event argument extraction by conditional generation
Sha Li, Heng Ji, and Jiawei Han. 2021 · 2021
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Element intervention for open relation extraction
Fangchao Liu, Lingyong Yan, Hongyu Lin, Xianpei Han, and Le Sun. 2021 · 2021
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Corpus-based open-domain event type induction
Jiaming Shen, Yunyi Zhang, Heng Ji, and Jiawei Han. 2021 · 2021
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A relation-oriented clustering method for open relation extraction
Jun Zhao, Tao Gui, Qi Zhang, and Yaqian Zhou. 2021 · 2021
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A frustratingly easy approach for entity and relation extraction
Zexuan Zhong and Danqi Chen. 2021 · 2021
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Packed levitated marker for entity and relation extraction
Deming Ye, Yankai Lin, Peng Li, and Maosong Sun. 2022 · 2022
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