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» Ontology based Text Annotation - OnTeA
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TKDE
2010
224views more  TKDE 2010»
13 years 8 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
IWANN
2009
Springer
14 years 4 months ago
Biomedical Text Mining Applied to Document Retrieval and Semantic Indexing
In Biomedical research, the ability to retrieve the adequate information from the ever growing literature is an extremely important asset. This work provides an enhanced and genera...
Anália Lourenço, Sónia Carnei...
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
14 years 10 months 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, ...
BMCBI
2008
173views more  BMCBI 2008»
13 years 10 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
JCDL
2006
ACM
172views Education» more  JCDL 2006»
14 years 4 months ago
A comprehensive comparison study of document clustering for a biomedical digital library MEDLINE
Document clustering has been used for better document retrieval, document browsing, and text mining in digital library. In this paper, we perform a comprehensive comparison study ...
Illhoi Yoo, Xiaohua Hu