In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
The goal of entity resolution is to reconcile database references corresponding to the same real-world entities. Given the abundance of publicly available databases where entities...
Indrajit Bhattacharya, Lise Getoor, Louis Licamele
In this paper, we present our participation in the ImageCLEF 2005 ad-hoc track. First, we describe a preliminary pool of cross-language experiments with the ImageCLEF 2004 testbed...
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
In this work we present the computational algorithm that combines perceptual and cognitive information during the visual search for object features. The algorithm is initially driv...