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YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia

, , and . WWW '07: Proceedings of the 16th International World Wide Web Conference, Banff, Canada, page 697-706. (2007)
DOI: 10.1145/1242572.1242667

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YAGO: A Large Ontology from Wikipedia and WordNet, , and . Journal of Web Semantics, 6 (3): 203 - 217 (2008)World Wide Web Conference 2007Semantic Web Track.YAWN: A Semantically Annotated Wikipedia XML Corpus, and . (2007)User Intent Recognition and Satisfaction with Large Language Models: A User Study with ChatGPT., , , , and . CoRR, (2024)Standardized Evaluation of Machine Learning Methods for Evolving Data Streams., , and . CoRR, (2022)Deep Neural Networks and Tabular Data: A Survey., , , , , and . CoRR, (2021)I Prefer not to Say: Operationalizing Fair and User-guided Data Minimization., , , and . CoRR, (2022)Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations., , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 46 (4): 2104-2122 (April 2024)Towards User Empowerment., , , and . CoRR, (2019)On the Trade-Off between Actionable Explanations and the Right to be Forgotten., , , and . ICLR, OpenReview.net, (2023)Aggregating the Gaussian Experts' Predictions via Undirected Graphical Models., and . BigComp, page 23-26. IEEE, (2022)