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SIGIR
2004
ACM
15 years 5 months ago
Focused named entity recognition using machine learning
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...
Li Zhang, Yue Pan, Tong Zhang
KDD
2006
ACM
121views Data Mining» more  KDD 2006»
16 years 4 days ago
Query-time entity resolution
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
CLEF
2005
Springer
15 years 5 months ago
UNED at ImageCLEF 2005: Automatically Structured Queries with Named Entities over Metadata
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...
Víctor Peinado, Fernando López-Osten...
CIKM
2008
Springer
15 years 1 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
ICNC
2005
Springer
15 years 5 months ago
Visual Search for Object Features
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...
Predrag Neskovic, Leon N. Cooper