Databases often contain uncertain and imprecise references to real-world entities. Entity resolution, which is the process of reconciling multiple references to underlying real-wor...
Hyunmo Kang, Lise Getoor, Ben Shneiderman, Mustafa...
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
—“Ontology matching” is the process of finding correspondences between entities belonging to different ontologies. This paper describes a set of algorithms that exploit uppe...
Until recently, referring expression generation (reg) research focused on the task of selecting the semantic content of definite mentions of listener-familiar discourse entities. I...
Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learn...