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We introduce Saga, a next-generation knowledge construction and serving platform for powering knowledge-based applications at industrial scale.
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NADEEF/ER: Generic and interactive entity resolution. In Proceedings of the 2014 ACM SIGMOD international conference on Management of data . 1071–1074
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Anja Gruenheid, Xin Luna Dong, and Divesh Srivastava. 2014 · 2014
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Vertexica: your relational friend for graph analytics!
Alekh Jindal, Praynaa Rawlani, Eugene Wu, Samuel Madden, Amol Deshpande, and Mike Stonebraker. 2014 · 2014
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Aida-light: High-throughput named-entity disambiguation. In LDOW
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A comparison of blocking methods for record linkage. In International conference on privacy in statistical databases . Springer, 253–268
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Wikidata: A Free Collaborative Knowledgebase
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
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Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources
Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, and Wei Zhang. 2015 · 2015
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The BigDAWG Polystore System
Jennie Duggan, Aaron J. Elmore, Michael Stonebraker, Magda Balazinska, Bill Howe, Jeremy Kepner, Sam Madden, David Maier, Tim Mattson, and Stan Zdonik. 2015 · 2015
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Challenges and innovations in building a product knowledge graph. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining . 2869–2869
Xin Luna Dong. 2018 · 2018
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Iris: A conversational agent for complex tasks. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems . 1–12
Ethan Fast, Binbin Chen, Julia Mendelsohn, Jonathan Bassen, and Michael S Bernstein. 2018 · 2018
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Deep learning for entity matching: A design space exploration. In Proceedings of the 2018 International Conference on Management of Data . 19–34
Sidharth Mudgal, Han Li, Theodoros Rekatsinas, AnHai Doan, Youngchoon Park, Ganesh Krishnan, Rohit Deep, Esteban Arcaute, and Vijay Raghavendra. 2018 · 2018
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Data cleaning
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Industry-Scale Knowledge Graphs: Lessons and Challenges
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Eda: Easy data augmentation techniques for boosting performance on text classification tasks
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Global Entity Disambiguation with Pretrained Contextualized Embeddings of Words and Entities
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KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Online, 8635–8648
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Magellan: toward building ecosystems of entity matching solutions
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Record fusion: A learning approach
Alireza Heidari, George Michalopoulos, Shrinu Kushagra, Ihab F Ilyas, and Theodoros Rekatsinas. 2020 · 2020
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Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (Virtual Event, Ireland) (CIKM ’20) . Association for Computing Machinery, New York, NY, USA, 2157–2160
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Blocking and filtering techniques for entity resolution: A survey
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Entity Matching in the Wild: A Consistent and Versatile Framework to Unify Data in Industrial Applications. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data . 2287–2301
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DGL-KE: Training Knowledge Graph Embeddings at Scale. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20) . Association for Computing Machinery, New York, NY, USA, 739–748
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Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations . Association for Computational Linguistics, Online, 125–132
Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tur, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, and Eddie Wang. 2021 · 2021
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Marius: Learning Massive Graph Embeddings on a Single Machine. In 15th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2021, July 14-16, 2021 , Angela Demke Brown and Jay R. Lorch (Eds.). USENIX Association, 533–549
Jason Mohoney, Roger Waleffe, Henry Xu, Theodoros Rekatsinas, and Shivaram Venkataraman. 2021 · 2021
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Bootleg: Chasing the tail with self-supervised named entity disambiguation
Laurel Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, and Christopher Re. 2021 · 2021
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WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
Luyu Wang, Yujia Li, Özlem Aslan, and Oriol Vinyals. 2021 · 2021
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Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
Gerhard Weikum, Xin Luna Dong, Simon Razniewski, and Fabian M. Suchanek. 2021 · 2021
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