CYC: Using Common Sense Knowledge to Overcome Brittleness and Knowledge Acquisition Bottlenecks
By D. Lenat, M. Prakash, M. Shepherd. 1986
Subfields: Knowledge Graphs & Representation
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Knowledge Graphs & Representation
Citations in the corpus
- Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension (2019, background): “fers to the general knowledge about how world works, sometimes called commonsense knowledge. We focus on the sort of world knowledge that an encyclopedia would assume readers know without being told (Lenat et al., 1985; Schubert, 2002) instead of the factual knowledge such as properties of famous en”
- On the coherence and structure of discourse (1985, background): “Whether or not the project is tractable remains to be seen, but it is currently a healthy area of research (see Hobbs and Moore, eds., 1984; Hobbs et al., 1987; Lenat et al., 1986; Dahlgren, 1985).”
- Commonsense reasoning and commonsense knowledge in artificial intelligence (2015, methodology): “Its initial proposed methodology was to encode the knowledge in 400 sample articles in a one-volume desk encyclopedia together with all the implicit background knowledge that a reader would need to understand the articles (hence the name) (Lenat, Prakash, & Shepherd, 1985).”
- Learning Cross-Context Entity Representations from Text (2020, background): “Efforts have been made to create the knowledge representation with knowledge engineers (Lenat et al., 1986) or crowdsourcers (Bollacker et al., 2008).”