1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.IR2017★ 1 cited
RelSifter: Scoring Triples from Type-like Relations - The Samphire Triple Scorer at WSDM Cup 2017
Prashant Shiralkar, Mihai Avram, Giovanni Luca Ciampaglia +2
We present RelSifter, a supervised learning approach to the problem of assigning relevance scores to triples expressing type-like relations such as 'profession' and 'nationality.'…
cs.AI2017
Finding Streams in Knowledge Graphs to Support Fact Checking
Prashant Shiralkar, Alessandro Flammini, Filippo Menczer +1
The volume and velocity of information that gets generated online limits current journalistic practices to fact-check claims at the same rate. Computational approaches for fact che…