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SIGIR
2004
ACM
14 years 1 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
ICDAR
2009
IEEE
14 years 2 months ago
Keyword Spotting in Document Images through Word Shape Coding
With large databases of document images available, a method for users to find keywords in documents will be useful. One approach is to perform Optical Character Recognition (OCR) ...
Shuyong Bai, Linlin Li, Chew Lim Tan
CLEF
2009
Springer
13 years 5 months ago
Exploiting Speech Recognition Transcripts for Narrative Peak Detection in Short-Form Documentaries
Narrative peaks are points at which the viewer perceives a spike in the level of dramatic tension within the narrative flow of a video. This paper reports on four approaches to na...
Martha Larson, Bart Jochems, Ewine Smits, Roeland ...
WWW
2007
ACM
14 years 8 months ago
Using d-gap patterns for index compression
Sequential patterns of d-gaps exist pervasively in inverted lists of Web document collection indices due to the cluster property. In this paper the information of d-gap sequential...
Jinlin Chen, Terry Cook
ICDAR
2007
IEEE
14 years 1 months ago
Toponym Recognition in Scanned Color Topographic Maps
Topographic paper maps are a common support for geographical information. In the field of document analysis of this kind of support, this paper proposes an automatic approach to ...
Joachim Pouderoux, Jean-Christophe Gonzato, A. Per...