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» Domain Ontology Construction from Biomedical Text
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KDD
2010
ACM
247views Data Mining» more  KDD 2010»
13 years 11 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
JCDL
2003
ACM
119views Education» more  JCDL 2003»
14 years 2 months ago
Genescene: Biomedical Text And Data Mining
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers wi...
Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Sha...
SAC
2010
ACM
14 years 3 months ago
Hypothesis generation and ranking based on event similarities
Accelerated by the technological advances in the domain, the size of the biomedical literature has been growing rapidly. As a result, it is not feasible for individual researchers...
Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara
DEXAW
2005
IEEE
135views Database» more  DEXAW 2005»
14 years 2 months ago
Expert-Based Ontology Construction: A Case-Study in Horticulture
Abstract— Experts are capable of performing complex tasks in their specific field of expertise. To do this, they use a vast amount of explicit and tacit domain knowledge. For v...
Nicole J. J. P. Koenderink, Jan L. Top, Lucas J. v...
FLAIRS
2009
13 years 6 months ago
Improving Biomedical Document Retrieval by Mining Domain Knowledge
When research articles introduce new findings or concepts they typically relate them only to knowledge and domain concepts of immediate relevance. However, many domain concepts re...
Shuguang Wang, Milos Hauskrecht