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» Ontology-based Text Document Clustering
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98
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SIGIR
2006
ACM
15 years 6 months ago
Text clustering with extended user feedback
Text clustering is most commonly treated as a fully automated task without user feedback. However, a variety of researchers have explored mixed-initiative clustering methods which...
Yifen Huang, Tom M. Mitchell
110
Voted
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
16 years 29 days ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...
102
Voted
ICDAR
2009
IEEE
15 years 7 months ago
Enhanced Text Extraction from Arabic Degraded Document Images Using EM Algorithm
This paper presents a new enhanced text extraction algorithm from degraded document images on the basis of the probabilistic models. The observed document image is considered as a...
Wafa Boussellaa, Aymen Bougacha, Abderrazak Zahour...
118
Voted
IJBRA
2007
116views more  IJBRA 2007»
15 years 10 days ago
Biomedical ontology improves biomedical literature clustering performance: a comparison study
: Document clustering has been used for better document retrieval and text mining. In this paper, we investigate if a biomedical ontology improves biomedical literature clustering ...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song
103
Voted
ACL
2008
15 years 1 months ago
Learning Document-Level Semantic Properties from Free-Text Annotations
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Re...