Fetching the paper…
Reading the bibliography…
Distantly-supervised Relation Extraction (RE) methods train an extractor by automatically aligning relation instances in a Knowledge Base (KB) with unstructured text.
Graph convolutional encoders for syntax-aware neural machine translation
Joost Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, and Khalil Simaan. 2017 · 1967
Earlier work this paper cites.
Incorporating non-local information into information extraction systems by gibbs sampling
Jenny Rose Finkel, Trond Grenager, and Christopher Manning. 2005 · 2005
Earlier work this paper cites.
Freebase: A collaboratively created graph database for structuring human knowledge
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008 · 2008
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.
Modeling relations and their mentions without labeled text
Sebastian Riedel, Limin Yao, and Andrew McCallum. 2010 · 2010
Earlier work this paper cites.
Knowledge-based weak supervision for information extraction of overlapping relations
Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer, and Daniel S Weld. 2011 · 2011
Earlier work this paper cites.
Fine-grained entity recognition
Xiao Ling and Daniel S. Weld. 2012 · 2012
Earlier work this paper cites.
Open language learning for information extraction
Mausam, Michael Schmitz, Robert Bart, Stephen Soderland, and Oren Etzioni. 2012 · 2012
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.
Speech recognition with deep recurrent neural networks
A. Graves, A. r. Mohamed, and G. Hinton. 2013 · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Learning phrase representations using rnn encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Exploring fine-grained entity type constraints for distantly supervised relation extraction
Yang Liu, Kang Liu, Liheng Xu, and Jun Zhao. 2014 · 2014
Cited alongside, same era.
The Stanford CoreNLP natural language processing toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. 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.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
Cited alongside, same era.
Wikidata: A free collaborative knowledgebase
Neural relation extraction with selective attention over instances
Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. 2016 · 2016
Later among the works it cites.
Distant supervision for relation extraction with sentence-level attention and entity descriptions
Guoliang Ji, Kang Liu, Shizhu He, and Jun Zhao. 2017 · 2017
Later among the works it cites.
Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling. 2017 · 2017
Later among the works it cites.
A soft-label method for noise-tolerant distantly supervised relation extraction
Tianyu Liu, Kexiang Wang, Baobao Chang, and Zhifang Sui. 2017 · 2017
Later among the works it cites.
Encoding sentences with graph convolutional networks for semantic role labeling
Diego Marcheggiani and Ivan Titov. 2017 · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
Cited alongside, same era.
Relation classification via convolutional deep neural network
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jun Zhao. 2014 · 2014
Cited alongside, same era.
Leveraging linguistic structure for open domain information extraction
Gabor Angeli, Melvin Jose Johnson Premkumar, and Christopher D. Manning. 2015 · 2015
Cited alongside, same era.
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification
Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2015 · 2015
Cited alongside, same era.
Distant supervision for relation extraction via piecewise convolutional neural networks
Daojian Zeng, Kang Liu, Yubo Chen, and Jun Zhao. 2015 · 2015
Cited alongside, same era.
Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016 · 2016
Cited alongside, same era.
Effective deep memory networks for distant supervised relation extraction
Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, and Yongjie Liu
Cited in the paper.
Tushar Nagarajan, Sharmistha Jat, and Partha Talukdar. 2017 · 2017
Later among the works it cites.
Noise mitigation for neural entity typing and relation extraction
Yadollah Yaghoobzadeh, Heike Adel, and Hinrich Schütze. 2017 · 2017
Later among the works it cites.
See: Syntax-aware entity embedding for neural relation extraction
Zhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei Zhang, and Min Zhang. 2018 · 2018
Closest in time.
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention
S. Jat, S. Khandelwal, and P. Talukdar. 2018 · 2018
Closest in time.
Graph convolutional networks with argument-aware pooling for event detection
Thien Nguyen and Ralph Grishman. 2018 · 2018
Closest in time.
CESI: Canonicalizing open knowledge bases using embeddings and side information
Shikhar Vashishth, Prince Jain, and Partha Talukdar. 2018b · 2018
Closest in time.