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» Automatic Extraction of Hierarchical Relations from Text
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HIKM
2006
ACM
14 years 2 months ago
Automatic document indexing in large medical collections
Term extraction relates to extracting the most characteristic or important terms (words or phrases) in a document. This information is commonly used for improving the accuracy of ...
Angelos Hliaoutakis, Kalliopi Zervanou, Euripides ...
IPM
2006
64views more  IPM 2006»
13 years 8 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
SMC
2010
IEEE
186views Control Systems» more  SMC 2010»
13 years 6 months ago
Semantic enrichment of text representation with wikipedia for text classification
—Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the t...
Hiroki Yamakawa, Jing Peng, Anna Feldman
ECAI
2000
Springer
14 years 15 days ago
Enriching very large ontologies using the WWW
This paper explores the possibility to exploit text on the world wide web in order to enrich the concepts in existing ontologies. First, a method to retrieve documents from the WWW...
Eneko Agirre, Olatz Ansa, Eduard H. Hovy, David Ma...
ICIP
2006
IEEE
14 years 9 months ago
Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cuts
We present a semi-automatic segmentation technique of the anatomical structures of the brain: cerebrum, cerebellum, and brain stem. The method uses graph cuts segmentation with an...
Huy-Nam Doan, Gregory G. Slabaugh, Gozde B. Unal, ...