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KDD
2004
ACM
141views Data Mining» more  KDD 2004»
16 years 6 days ago
A Maximum Entropy Approach to Biomedical Named Entity Recognition
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pi...
DEXAW
2005
IEEE
170views Database» more  DEXAW 2005»
15 years 5 months ago
Functional Annotation of Genes through Statistical Analysis of Biomedical Articles
One of the most elaborate and important tasks in biology is the functional annotation of genes. Biologists have developed standardized and structured vocabularies, called bio-onto...
Theodosios Theodosiou, Lefteris Angelis, Athena Va...
WEBI
2010
Springer
14 years 9 months ago
Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery
Biomedical entity extraction from unstructured web documents is an important task that needs to be performed in order to discover knowledge in the veterinary medicine domain. In ge...
Svitlana Volkova, Doina Caragea, William H. Hsu, J...
MEDINFO
2007
158views Healthcare» more  MEDINFO 2007»
15 years 1 months ago
Geographically Distributed Complementary Content-Based Image Retrieval Systems for Biomedical Image Informatics
There is a significant increase in the use of medical images in clinical medicine, disease research, and education. While the literature lists several successful systems for conte...
Sameer Antani, Thomas Martin Deserno, L. Rodney Lo...
SIGIR
2008
ACM
14 years 11 months ago
Improving biomedical document retrieval using domain knowledge
Research articles typically introduce new results or findings and relate them to knowledge entities of immediate relevance. However, a large body of context knowledge related to t...
Shuguang Wang, Milos Hauskrecht