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SIGIR
2004
ACM
14 years 24 days 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
MVA
1992
115views Computer Vision» more  MVA 1992»
13 years 8 months ago
An OCR System for Printed Documents
This paper describes the general structure of a full automated document analysis system for printed documents. The system is based on a character preclassification stage which red...
Frank Lebourgeois, Jean-Luc Henry, Hubert Emptoz
DOCENG
2005
ACM
13 years 9 months ago
Encapsulating and manipulating component object graphics (COGs) using SVG
Scalable Vector Graphics (SVG) has an imaging model similar to that of PostScript and PDF but the XML basis of SVG allows it to participate fully, via namespaces, in generalised X...
Alexander J. Macdonald, David F. Brailsford, Steve...
ICUIMC
2009
ACM
14 years 1 months ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee
WWW
2004
ACM
14 years 8 months ago
An xpath-based discourse analysis module for spoken dialogue systems
This paper describes an XPath-based discourse analysis module for Spoken Dialogue Systems that allows the dialogue author to easily manipulate and query both the user input's...
Giuseppe Di Fabbrizio, Charles Lewis