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Commonsense knowledge about object properties, human behavior and general concepts is crucial for robust AI applications.
Programs with common sense
John McCarthy · 1960
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Knowledge engineering
Edward A Feigenbaum · 1984
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Veda: an online assessment and question banking system
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An analysis of open information extraction based on semantic role labeling
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Probase: a probabilistic taxonomy for text understanding
Wentao Wu, Hongsong Li, Haixun Wang, and Kenny Qili Zhu · 2012
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Open-domain fine-grained class extraction from web search queries
Marius Pasca · 2013
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Canonicalizing open knowledge bases
Luis Galárraga, Geremy Heitz, Kevin Murphy, and Fabian M. Suchanek · 2014
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Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch · 2014
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The role of query sessions in interpreting compound noun phrases
Marius Pasca · 2015
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Questions vs. queries in informational search tasks
Ryen W. White, Matthew Richardson, and Wen-tau Yih · 2015
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Domain-targeted, high precision knowledge extraction
Bhavana Dalvi, Niket Tandon, and Peter Clark · 2017
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AI2 science questions v2.1, 2017
Allen Institute of AI · 2017
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Bootstrapping for numerical open IE
Swarnadeep Saha, Harinder Pal, and Mausam · 2017
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WebChild 2.0: Fine-grained commonsense knowledge distillation
Niket Tandon, Gerard de Melo, and Gerhard Weikum · 2017
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Open information extraction from conjunctive sentences
Swarnadeep Saha and Mausam · 2018
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Commonsenseqa: A question answering challenge targeting commonsense knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie, and Jonathan Berant · 2018
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Open information extraction systems and downstream applications
Mausam · 2016
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Demonyms and compound relational nouns in nominal open IE
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