Decoding Wikipedia Categories for Knowledge Acquisition

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Knowledge-aware Autoencoders for Explainable Recommender Systems (2018, background): “Categories in Wikipedia are collaboratively maintained by community’s editors thus leading to a rich set of categories that reflects a human classification by encoding knowledge about classes attributes and other semantic relations [11].”
Open domain question answering using Wikipedia-based knowledge model (2014, background): “Wikipedia has become a stable and sufficiently large knowledge source for many knowledge-based engineering works (Bizer et al., 2009; Hoffart et al., 2013; Nastase & Strube, 2008; Suchanek et al., 2007).”
Learning-based Multi-Sieve Co-reference Resolution with Knowledge (2012, background): “…us to believe that this heuristic achieves a higher precision at a considerable loss of recall when compared to the more sophisticated approach of (Nastase and Strube, 2008), which correctly identiﬁes “faculty” as the head of “Insti-tute for Advanced Study faculty” , but incorrectly identiﬁes…”
Automatically Generating Wikipedia Articles: A Structure-Aware Approach (2009, background): “Instances of this work include information extraction, ontology induction and resource acquisition (Wu and Weld, 2007; Biadsy et al., 2008; Nastase, 2008; Nastase and Strube, 2008).”
Fine-Grained Entity Typing for Domain Independent Entity Linking (2019, background): “Past work has looked at deriving similar category sets over Wikipedia (Nastase and Strube 2008).”