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» Feature Engineering for Text Classification
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DRR
2004
15 years 2 days ago
A nonparametric classifier for unsegmented text
Symbolic Indirect Correlation (SIC) is a new classification method for unsegmented patterns. SIC requires two levels of comparisons. First, the feature sequences from an unknown q...
George Nagy, Ashutosh Joshi, Mukkai S. Krishnamoor...
77
Voted
IJDAR
2000
77views more  IJDAR 2000»
14 years 9 months ago
Symbol and character recognition: application to engineering drawings
: In this paper, we consider the general problem of technical document interpretation, applied to the documents of the French Telephonic Operator, France Telecom. More precisely, w...
Sébastien Adam, Jean-Marc Ogier, Claude Car...
84
Voted
ESWS
2006
Springer
15 years 1 months ago
Automatic Extraction of Hierarchical Relations from Text
Abstract. Automatic extraction of semantic relationships between entity instances in an ontology is useful for attaching richer semantic metadata to documents. In this paper we pro...
Ting Wang, Yaoyong Li, Kalina Bontcheva, Hamish Cu...
71
Voted
ICPR
2010
IEEE
15 years 1 months ago
Spatial Representation for Efficient Sequence Classification
We present a general, simple feature representation of sequences that allows efficient inexact matching, comparison and classification of sequential data. This approach, recently ...
Pavel Kuksa, Vladimir Pavlovic
SIGKDD
2002
92views more  SIGKDD 2002»
14 years 9 months ago
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1)
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental eviden...
S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah,...