Snorkel: rapid training data creation with weak supervision. is a research paper published in The VLDB Journal (2020). On theSindex it has a DataRank of 0. It has been cited 520 times.
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Defense Advanced Research Projects Agency
Grant: N66001-15-C-4043
Defense Advanced Research Projects Agency
Grant: FA8750-17-2-0095
Defense Advanced Research Projects Agency
Grant: FA8750-12-2-0335
Defense Advanced Research Projects Agency
Grant: FA8750-13-2-0039
US Department of Energy
Grant: 108845
National Institutes of Health
Grant: U54EB020405
Office of Naval Research
Grant: N000141210041
Office of Naval Research
Grant: N000141310129
National Institutes of Health
Grant: 5U54EB020405-03
Mobility Data Integration to Insight
National Institutes of Health
Grant: 5U54EB020405-02
Mobility Data Integration to Insight
Gordon and Betty Moore Foundation
Fields of Study
Keywords
Additional file 1 of Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts
Additional file 1 of Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts
Additional file 1 of Ontology-driven and weakly supervised rare disease identification from clinical notes
Additional file 1 of Ontology-driven and weakly supervised rare disease identification from clinical notes
Additional file 2 of Ontology-driven and weakly supervised rare disease identification from clinical notes
Additional file 2 of Ontology-driven and weakly supervised rare disease identification from clinical notes