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Dependency trees help relation extraction models capture long-range relations between words.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. 1998 · 1998
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Kernel methods for relation extraction
Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2003 · 2003
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Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations
Nanda Kambhatla. 2004 · 2004
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A shortest path dependency kernel for relation extraction
Razvan C Bunescu and Raymond J Mooney. 2005 · 2005
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Distant supervision for relation extraction without labeled data
Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009 · 2009
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UTD: Classifying semantic relations by combining lexical and semantic resources
Bryan Rink and Sanda Harabagiu. 2010 · 2010
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The Stanford CoreNLP natural language processing toolkit
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GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
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Relation classification via convolutional deep neural network
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, Jun Zhao, et al. 2014 · 2014
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Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou, and Houfeng Wang. 2015 · 2015
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Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D Manning. 2015 · 2015
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Semantic relation classification via convolutional neural networks with simple negative sampling
Kun Xu, Yansong Feng, Songfang Huang, and Dongyan Zhao. 2015a · 2015
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Classifying relations via long short term memory networks along shortest dependency paths
Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, and Zhi Jin. 2015b · 2015
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Comparing convolutional neural networks to traditional models for slot filling
Heike Adel, Benjamin Roth, and Hinrich Schütze. 2016 · 2016
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Attention-based bidirectional long short-term memory networks for relation classification
Peng Zhou, Wei Shi, Jun Tian, Zhenyu Qi, Bingchen Li, Hongwei Hao, and Bo Xu. 2016 · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2017 · 2017
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End-to-end neural coreference resolution
Kenton Lee, Luheng He, Mike Lewis, and Luke Zettlemoyer. 2017 · 2017
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Encoding sentences with graph convolutional networks for semantic role labeling
Diego Marcheggiani and Ivan Titov. 2017 · 2017
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Distant supervision for relation extraction beyond the sentence boundary
Chris Quirk and Hoifung Poon. 2017 · 2017
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A simple neural network module for relational reasoning
Adam Santoro, David Raposo, David G Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, and Tim Lillicrap. 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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Syntax for semantic role labeling, to be, or not to be
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