Heterogeneous knowledge graph from CMU's Never-Ending Language Learning system. Contains entities and relations automatically extracted from web text with 200 relation types. Used for knowledge graph completion, link prediction, and reasoning tasks. Challenging due to sparse triple coverage for many relations.
npx keepset fetch nell-995
Nodes
74,432
Edges
149,678
Size
540.3 KiB
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Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell (2010). Toward an Architecture for Never-Ending Language Learning. Proceedings of the AAAI Conference on Artificial Intelligence.
Recipe
Source
#0
Archive
none
Parser format
"kg-triples"
Parser encoding
"utf-8"
Parser delimiter
"space"
Parser order
"head-tail-relation"
Parser header
"count"
Parser quoted
false
Crosswalk
keepset/relations to graph/v1, as a crossmap crosswalk.