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PRICAI
2000
Springer
14 years 1 months ago
Text Retrieval from Document Images based on N-Gram Algorithm
In this paper, we propose a method of text retrieval from document images using a similarity measure based on an N-Gram algorithm. We directly extract image features instead of us...
Chew Lim Tan, Sam Yuan Sung, Zhaohui Yu, Yi Xu
ESA
1995
Springer
127views Algorithms» more  ESA 1995»
14 years 1 months ago
Optimized Binary Search and Text Retrieval
We present an algorithm that minimizes the expected cost of indirect binary search for data with non-constant access costs, such as disk data. Indirect binary search means that sor...
Eduardo F. Barbosa, Gonzalo Navarro, Ricardo A. Ba...
LREC
2010
150views Education» more  LREC 2010»
13 years 11 months ago
Wikipedia-based Approach for Linking Ontology Concepts to their Realisations in Text
A novel method to automatically associate ontological concepts to their realisations in texts is presented. The method has been developed in the context of the Papyrus project to ...
Giulio Paci, Giorgio Pedrazzi, Roberta Turra
EMNLP
2007
13 years 11 months ago
Scalable Term Selection for Text Categorization
In text categorization, term selection is an important step for the sake of both categorization accuracy and computational efficiency. Different dimensionalities are expected und...
Jingyang Li, Maosong Sun
RIAO
2007
13 years 11 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss