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Multilingual knowledge graphs (KGs), such as YAGO and DBpedia, represent entities in different languages.
Matching entities across different knowledge graphs with graph embeddings
Michael Azmy, Peng Shi, Jimmy Lin, and Ihab F. Ilyas. 2019 · 1903
Earlier work this paper cites.
Automatic interlinking of music datasets on the semantic web
Yves Raimond, Christopher Sutton, and Mark B. Sandler. 2008 · 2008
Earlier work this paper cites.
YAGO: A large ontology from Wikipedia and WordNet
Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2008 · 2008
Earlier work this paper cites.
DBpedia: A crystallization point for the web of data
Christian Bizer, Jens Lehmann, Georgi Kobilarov, Sören Auer, Christian Becker, Richard Cyganiak, and Sebastian Hellmann. 2009 · 2009
Earlier work this paper cites.
RDF-AI: an architecture for RDF datasets matching, fusion and interlink
François Scharffe, Yanbin Liu, and Chuguang Zhou. 2009 · 2009
Earlier work this paper cites.
Discovering and maintaining links on the web of data
Julius Volz, Christian Bizer, Martin Gaedke, and Georgi Kobilarov. 2009 · 2009
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Limes: a time-efficient approach for large-scale link discovery on the web of data
Axel-Cyrille Ngonga Ngomo and Soren Auer. 2011 · 2011
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A machine learning approach to multilingual and cross-lingual ontology matching
Dennis Spohr, Laura Hollink, and Philipp Cimiano. 2011 · 2011
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BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network
Roberto Navigli and Simone Paolo Ponzetto. 2012 · 2012
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Cross-lingual knowledge linking across wiki knowledge bases
Zhichun Wang, Juanzi Li, Zhigang Wang, and Jie Tang. 2012 · 2012
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Named entity recognition using cross-lingual resources: Arabic as an example
Kareem Darwish. 2013 · 2013
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Multimodal distributional semantics
Elia Bruni, Nam-Khanh Tran, and Marco Baroni. 2014 · 2014
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Multilingual models for compositional distributed semantics
Karl Moritz Hermann and Phil Blunsom. 2014 · 2014
Cited alongside, same era.
Learning image embeddings using convolutional neural networks for improved multi-modal semantics
Douwe Kiela and Léon Bottou. 2014 · 2014
Cited alongside, same era.
Holistic entity matching across knowledge graphs
Maria Pershina, Mohamed Yakout, and Kaushik Chakrabarti. 2015 · 2015
Cited alongside, same era.
Training very deep networks
Rupesh K. Srivastava, Klaus Greff, and Jürgen Schmidhuber. 2015 · 2015
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A joint embedding method for entity alignment of knowledge bases
Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu, and Jun Zhao. 2016 · 2016
Cited alongside, same era.
Noise-contrastive estimation for answer selection with deep neural networks
Jinfeng Rao, Hua He, and Jimmy Lin. 2016 · 2016
Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond
Mikel Artetxe and Holger Schwenk. 2018 · 2018
Later among the works it cites.
Co-training embeddings of knowledge graphs and entity descriptions for cross-lingual entity alignment
Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, and Carlo Zaniolo. 2018 · 2018
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XNLI: Evaluating cross-lingual sentence representations
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel Bowman, Holger Schwenk, and Veselin Stoyanov. 2018 · 2018
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Zero-shot cross-lingual classification using multilingual neural machine translation
Akiko Eriguchi, Melvin Johnson, Orhan Firat, Hideto Kazawa, and Wolfgang Macherey. 2018 · 2018
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Machine translation using semantic web technologies: A survey
Diego Moussallem, Matthias Wauer, and Axel-Cyrille Ngonga Ngomo. 2018 · 2018
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Cited alongside, same era.
YAGO: A multilingual knowledge base from Wikipedia, WordNet, and GeoNames
Thomas Rebele, Fabian Suchanek, Johannes Hoffart, Joanna Biega, Erdal Kuzey, and Gerhard Weikum. 2016 · 2016
Cited alongside, same era.
Representation learning of knowledge graphs with entity descriptions
Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, and Maosong Sun. 2016 · 2016
Cited alongside, same era.
Imagined visual representations as multimodal embeddings
Guillem Collell, Ted Zhang, and Marie-Francine Moens. 2017 · 2017
Cited alongside, same era.
Google’s multilingual neural machine translation system: Enabling zero-shot translation
Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, et al. 2017 · 2017
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling. 2017 · 2017
Cited alongside, same era.
Cross-lingual entity alignment via joint attribute-preserving embedding
Zequn Sun, Wei Hu, and Chengkai Li. 2017 · 2017
Cited alongside, same era.
Later among the works it cites.
Deep learning for entity matching: A design space exploration
Sidharth Mudgal, Han Li, Theodoros Rekatsinas, AnHai Doan, Youngchoon Park, Ganesh Krishnan, Rohit Deep, Esteban Arcaute, and Vijay Raghavendra. 2018 · 2018
Later among the works it cites.
Modeling relational data with graph convolutional networks
Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne Van Den Berg, Ivan Titov, and Max Welling. 2018 · 2018
Later among the works it cites.
Cross-lingual knowledge graph alignment via graph convolutional networks
Zhichun Wang, Qingsong Lv, Xiaohan Lan, and Yu Zhang. 2018 · 2018
Later among the works it cites.
Graph convolution over pruned dependency trees improves relation extraction
Yuhao Zhang, Peng Qi, and Christopher D. Manning. 2018 · 2018
Later among the works it cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Closest in time.
Simple attention-based representation learning for ranking short social media posts
Peng Shi, Jinfeng Rao, and Jimmy Lin. 2019 · 2019
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Entity alignment between knowledge graphs using attribute embeddings
Bayu Distiawan Trsedya, Jianzhong Qi, and Rui Zhang. 2019 · 2019
Closest in time.