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Recent work in learning ontologies (hierarchical and partially-ordered structures) has leveraged the intrinsic geometry of spaces of learned representations to make predictions that automatically obey complex structural constraints.
WordNet: a lexical database for English
Miller, George A · 1995
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Freebase: a collaboratively created graph database for structuring human knowledge
Bollacker, Kurt, Evans, Colin, Paritosh, Praveen, Sturge, Tim, and Taylor, Jamie · 2008
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The wacky wide web: a collection of very large linguistically processed web-crawled corpora
Baroni, Marco, Bernardini, Silvia, Ferraresi, Adriano, and Zanchetta, Eros · 2009
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A three-way model for collective learning on multi-relational data
Nickel, Maximilian, Tresp, Volker, and Kriegel, Hans-Peter · 2011
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Probase: A probabilistic taxonomy for text understanding
Wu, Wentao, Li, Hongsong, Wang, Haixun, and Zhu, Kenny Q · 2012
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An inference approach to basic level of categorization
Wang, Zhongyuan, Wang, Haixun, Wen, Ji-Rong, and Xiao, Yanghua · 2015
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Commonsense knowledge base completion
Li, Xiang, Taheri, Aynaz, Tu, Lifu, and Gimpel, Kevin · 2016
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Conceptnet 5.5: An open multilingual graph of general knowledge
Speer, Robert, Chin, Joshua, and Havasi, Catherine · 2016
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Poincaré embeddings for learning hierarchical representations
Nickel, Maximilian and Kiela, Douwe · 2017
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