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In this paper, a new perspective is suggested for unsupervised Ontology Matching (OM) or Ontology Alignment (OA) by treating it as a translation task.
Logmap: Logic-based and scalable ontology matching
Ernesto Jiménez-Ruiz and Bernardo Cuenca Grau · 2011
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The agreementmakerlight ontology matching system
Daniel Faria, Catia Pesquita, Emanuel Santos, Matteo Palmonari, Isabel F Cruz, and Francisco M Couto · 2013
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Ontology matching with word embeddings
Yuanzhe Zhang, Xuepeng Wang, Siwei Lai, Shizhu He, Kang Liu, Jun Zhao, and Xueqiang Lv · 2014
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Enriching word vectors with subword information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov · 2017
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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
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Deepalignment: Unsupervised ontology matching with refined word vectors
Prodromos Kolyvakis, Alexandros Kalousis, and Dimitris Kiritsis · 2018
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Ontology alignment in the biomedical domain using entity definitions and context
Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm, and Waleed Ammar · 2018
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BoolQ: Exploring the surprising difficulty of natural yes/no questions
Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova · 2019
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An ontology alignment approach combining word embedding and the radius measure
Molka Tounsi Dhouib, Catherine Faron Zucker, and Andrea GB Tettamanzi · 2019
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VeeAlign: a supervised deep learning approach to ontology alignment
Vivek Iyer, Arvind Agarwal, and Harshit Kumar · 2020
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mT5: A massively multilingual pre-trained text-to-text transformer
Editor: an edit-based transformer with repositioning for neural machine translation with soft lexical constraints
Weijia Xu and Marine Carpuat · 2021
Later among the works it cites.
https://github.com/KRR-Oxford/DeepOnto
DeepOnto · 2022
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BERTMap: a BERT-based ontology alignment system
Yuan He, Jiaoyan Chen, Denvar Antonyrajah, and Ian Horrocks · 2022
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Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching
Yuan He, Jiaoyan Chen, Hang Dong, Ernesto Jiménez-Ruiz, Ali Hadian, and Ian Horrocks · 2022
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https://www.cs.ox.ac.uk/isg/projects/ConCur/oaei/2022/
OAEI · 2022
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LSMatch and LSMatch-Multilingual Results for OAEI
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Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel · 2020
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Owl2vec*: Embedding of owl ontologies
Jiaoyan Chen, Pan Hu, Ernesto Jimenez-Ruiz, Ole Magnus Holter, Denvar Antonyrajah, and Ian Horrocks · 2021
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Augmenting ontology alignment by semantic embedding and distant supervision
Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Denvar Antonyrajah, Ali Hadian, and Jaehun Lee · 2021
Cited alongside, same era.
Re-transformer: a self-attention based model for machine translation
Huey-Ing Liu and Wei-Lin Chen · 2021
Cited alongside, same era.
Towards Automatic Ontology Alignment using BERT
Sophie Neutel and Maaike HT de Boer · 2021
Cited alongside, same era.
Abhisek Sharma, Archana Patel, and Sarika Jain · 2022
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AMD Results for OAEI 2022
Zhu Wang · 2022
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Byt5: Towards a token-free future with pre-trained byte-to-byte models
Linting Xue, Aditya Barua, Noah Constant, Rami Al-Rfou, Sharan Narang, Mihir Kale, Adam Roberts, and Colin Raffel · 2022
Later among the works it cites.