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Relational tables on the Web store a vast amount of knowledge.
Ohio Supercomputer Center
Ohio Supercomputer Center. 1987 · 1987
Earlier work this paper cites.
An Introduction to Kernel and Nearest Neighbor Nonparametric Regression
Naomi S. Altman. 1992 · 1992
Earlier work this paper cites.
DBpedia: A Nucleus for a Web of Open Data. In ISWC/ASWC
Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary G. Ives. 2007 · 2007
Earlier work this paper cites.
Webtables: exploring the power of tables on the web
Michael J Cafarella, Alon Halevy, Daisy Zhe Wang, Eugene Wu, and Yang Zhang. 2008a · 2008
Earlier work this paper cites.
Uncovering the Relational Web. In 11th International Workshop on the Web and Databases, WebDB 2008, Vancouver, BC, Canada, June 13, 2008
Michael J. Cafarella, Alon Y. Halevy, Yang Zhang, Daisy Zhe Wang, and Eugene Wu. 2008b · 2008
Earlier work this paper cites.
Annotating and searching web tables using entities, types and relationships. In VLDB 2010
LimayeGirija, SarawagiSunita, and ChakrabartiSoumen. 2010 · 2010
Earlier work this paper cites.
Using Linked Data to Interpret Tables. In COLD
Varish Mulwad, Timothy W. Finin, Zareen Syed, and Anupam Joshi. 2010 · 2010
Earlier work this paper cites.
Finding Related Tables. In Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data . ACM, 817–828
Anish Das Sarma, Lujun Fang, Nitin Gupta, Alon Halevy, Hongrae Lee, Fei Wu, Reynold Xin, and Cong Yu. 2012 · 2012
Earlier work this paper cites.
Infogather: entity augmentation and attribute discovery by holistic matching with web tables. In Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data . ACM, 97–108
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, and Surajit Chaudhuri. 2012 · 2012
Earlier work this paper cites.
Translating Embeddings for Modeling Multi-relational Data. In NIPS
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
Earlier work this paper cites.
A semantic matching energy function for learning with multi-relational data
Xavier Glorot, Antoine Bordes, Jason Weston, and Yoshua Bengio. 2013 · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems . 3111–3119
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Earlier work this paper cites.
Relation Extraction with Matrix Factorization and Universal Schemas. In HLT-NAACL
Sebastian Riedel, Limin Yao, Andrew McCallum, and Benjamin M. Marlin. 2013 · 2013
Earlier work this paper cites.
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction
Jason Weston, Antoine Bordes, Oksana Yakhnenko, and Nicolas Usunier. 2013 · 2013
Earlier work this paper cites.
Glove: Global Vectors for Word Representation. In EMNLP
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
Earlier work this paper cites.
Knowledge Graph Embedding by Translating on Hyperplanes. In AAAI
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zhigang Chen. 2014 · 2014
Earlier work this paper cites.
Towards a hybrid imputation approach using web tables. In 2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC) . IEEE, 21–30
Ahmad Ahmadov, Maik Thiele, Julian Eberius, Wolfgang Lehner, and Robert Wrembel. 2015 · 2015
Cited alongside, same era.
TabEL: Entity Linking in Web Tables. In Proceedings of the 14th International Conference on The Semantic Web-ISWC 2015-Volume 9366 . 425–441
Chandra Sekhar Bhagavatula, Thanapon Noraset, and Doug Downey. 2015 · 2015
Cited alongside, same era.
Freebase Data Dumps
Google. 2015 · 2015
Cited alongside, same era.
Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
Matching HTML Tables to DBpedia. In WIMS ’15
Dominique Ritze, Oliver Lehmberg, and Christian Bizer. 2015 · 2015
Cited alongside, same era.
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval. In SIGIR’19
Lei Min Deng, Shuo Zhang, and Krisztian Balog. 2019 · 2019
Later among the works it cites.
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
Xiang Deng and Huan Sun. 2019 · 2019
Later among the works it cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) . 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
Termite: a system for tunneling through heterogeneous data. In Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management . 1–8
Raul Castro Fernandez and Samuel Madden. 2019 · 2019
Later among the works it cites.
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A Large Public Corpus of Web Tables containing Time and Context Metadata. In Proceedings of the 25th International Conference Companion on World Wide Web . 75–76
Oliver Lehmberg, Dominique Ritze, Robert Meusel, and Christian Bizer. 2016 · 2016
Cited alongside, same era.
Matching Web Tables with Knowledge Base Entities: From Entity Lookups to Entity Embeddings. In International Semantic Web Conference
Vasilis Efthymiou, Oktie Hassanzadeh, Mariano Rodriguez-Muro, and Vassilis Christophides. 2017 · 2017
Cited alongside, same era.
Knowledge Graph Embedding: A Survey of Approaches and Applications
Qi shan Wang, Zhendong Mao, Biwu Wang, and Li Guo. 2017 · 2017
Cited alongside, same era.
Attention is all you need. In Advances in neural information processing systems . 5998–6008
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Entitables: Smart assistance for entity-focused tables. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval . ACM, 255–264
Shuo Zhang and Krisztian Balog. 2017 · 2017
Cited alongside, same era.
Effective and efficient Semantic Table Interpretation using TableMiner+
Ziqi Zhang. 2017 · 2017
Cited alongside, same era.
Leveraging wikipedia table schemas for knowledge graph augmentation. In Proceedings of the 21st International Workshop on the Web and Databases . 1–6
Matteo Cannaviccio, Lorenzo Ariemma, Denilson Barbosa, and Paolo Merialdo. 2018 · 2018
Cited alongside, same era.
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Madelon Hulsebos, Kevin Zeng Hu, Michiel Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, cCaugatay Demiralp, and C’esar A. Hidalgo. 2019 · 2019
Later among the works it cites.
TinyBERT: Distilling BERT for Natural Language Understanding
Xiaoqi Jiao, Y. Yin, Lifeng Shang, Xin Jiang, Xusong Chen, Linlin Li, Fang Wang, and Qun Liu. 2019 · 2019
Later among the works it cites.
SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems. In European Semantic Web Conference . Springer, 514–530
Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, and Kavitha Srinivas. 2020 · 2019
Later among the works it cites.
Knowledge Enhanced Contextual Word Representations. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . 43–54
Matthew E Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A Smith. 2019 · 2019
Later among the works it cites.
Language Models are Unsupervised Multitask Learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Later among the works it cites.
XLNet: Generalized Autoregressive Pretraining for Language Understanding. In NeurIPS
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019 · 2019
Later among the works it cites.
Auto-completion for data cells in relational tables. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management . 761–770
Shuo Zhang and Krisztian Balog. 2019 · 2019
Later among the works it cites.
ERNIE: Enhanced Language Representation with Informative Entities. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . 1441–1451
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu. 2019 · 2019
Later among the works it cites.
TAPAS: Weakly Supervised Table Parsing via Pre-training. In ACL
Jonathan Herzig, P. Nowak, Thomas Müller, Francesco Piccinno, and Julian Martin Eisenschlos. 2020 · 2020
Closest in time.
Deep Entity Matching with Pre-Trained Language Models
Yuliang Li, Jinfeng Li, Yoshihiko Suhara, AnHai Doan, and Wang-Chiew Tan. 2020 · 2020
Closest in time.
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. In ACL
Pengcheng Yin, Graham Neubig, Wen tau Yih, and Sebastian Riedel. 2020 · 2020
Closest in time.
Web Table Extraction, Retrieval, and Augmentation: A Survey
Shuo Zhang and Krisztian Balog. 2020 · 2020
Closest in time.