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NLDB
2004
Springer
14 years 3 months ago
A Flexible Workbench for Document Analysis and Text Mining
Abstract: Document analysis and text mining techniques are used to preprocess documents in information retrieval systems, to extract concepts in ontology construction processes, an...
Jon Atle Gulla, Terje Brasethvik, Harald Kaada
ICDAR
2011
IEEE
12 years 9 months ago
Localization of Digit Strings in Farsi/Arabic Document Images Using Structural Features and Syntactical Analysis
—This paper presents a new method for localization of digit strings with a specific syntax in Farsi/ Arabic document images. First, some features are extracted from all connected...
Ali Abedi, Karim Faez
ICDAR
2009
IEEE
14 years 4 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
CICLING
2001
Springer
14 years 2 months ago
Automatic Keyword Extraction Using Domain Knowledge
Documents can be assigned keywords by frequency analysis of the terms found in the document text, which arguably is the primary source of knowledge about the document itself. By in...
Anette Hulth, Jussi Karlgren, Anna Jonsson, Henrik...
ICDAR
2003
IEEE
14 years 3 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt