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» Analysis of Handwriting Individuality Using Word Features
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ICDAR
2003
IEEE
14 years 29 days ago
A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters
High accuracy character recognition techniques can provide useful information for segmentation-based handwritten word recognition systems. This research describes neural network-b...
Michael Blumenstein, Brijesh Verma, H. Basli
LREC
2008
132views Education» more  LREC 2008»
13 years 9 months ago
Complete and Consistent Annotation of WordNet using the Top Concept Ontology
This paper presents the complete and consistent ontological annotation of the nominal part of WordNet. The annotation has been carried out using the semantic features defined in t...
Javier Álvez, Jordi Atserias, Jordi Carrera...
ICDIM
2009
IEEE
13 years 5 months ago
Are SentiWordNet scores suited for multi-domain sentiment classification?
Motivated by the numerous applications of analysing opinions in multi-domain scenarios, this paper studies the potential of a still rarely considered approach to the problem of mu...
Kerstin Denecke
EMNLP
2008
13 years 9 months ago
A Japanese Predicate Argument Structure Analysis using Decision Lists
This paper describes a new automatic method for Japanese predicate argument structure analysis. The method learns relevant features to assign case roles to the argument of the tar...
Hirotoshi Taira, Sanae Fujita, Masaaki Nagata
ANLP
1994
109views more  ANLP 1994»
13 years 9 months ago
Symmetric Pattern Matching Analysis for English Coordinate Structures
The authors propose a model for analyzing English sentences including coordinate conjunctions such as "and","or","but" and the equivalent words. Synt...
Akitoshi Okumura, Kazunori Muraki