Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs
By Marius Pasca, Benjamin Van Durme. 2008
114 citations recorded by the source corpus.
How researchers see this paper
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- Alon Y. Halevy
- Jayant Madhavan
- Petros Venetis
- Patrick Pantel
- Xiao Li
- Eric Crestan
- Arkady Borkovsky
- Ana-Maria Popescu
Citations in the corpus
- Web-Scale Distributional Similarity and Entity Set Expansion (2009, methodology): “Finally, semi-supervised methods have shown great promise for identifying and labeling entities (Riloff and Shepherd 1997; Riloff and Jones 1999; Banko et al. 2007; Downey et al. 2007; Paşca et al. 2006; Paşca 2007a; Paşca 2007b; Paşca and Durme 2008).”
- Finding meaning on YouTube: Tag recommendation and category discovery (2010, background): “Comparatively, a previously published repository of categorized instances extracted from a similarly-sized Web document collection [19], after a weighted intersection of pairs extracted with patterns and clusters of distributionally similar phrases, contains a total of 9,080 categories associated wi”
- Understanding the Semantic Structure of Noun Phrase Queries (2010, background): “On the other hand, there have been a series of research studies related to IH identification (Pasca and Durme, 2007; Pasca and Durme, 2008).”
- Recovering Semantics of Tables on the Web (2011, methodology): “We describe an algorithm for discovering subject columns in Appendix C.”