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» Unsupervised Relation Extraction by Massive Clustering
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HICSS
2007
IEEE
134views Biometrics» more  HICSS 2007»
14 years 1 months ago
Exploring the Clinical Notes of Pathology Ordering by Australian General Practitioners: a text mining perspective
A massive rise in the number and expenditure of pathology ordering by general practitioners (GPs) concerns the government and attracts various studies with the aim to understand a...
Zoe Yan Zhuang, Rasika Amarasiri, Leonid Churilov,...
AIME
1997
Springer
13 years 11 months ago
Rule-Based Labeling of CT Head Image
A rule-based approach to the labeling of computed tomography CT head images containing intracerebral brain hemorrhage ICH is presented in this paper. Fully automated segmentat...
Dubravko Cosic, Sven Loncaric
JPDC
2008
217views more  JPDC 2008»
13 years 7 months ago
Parallel techniques for information extraction from hyperspectral imagery using heterogeneous networks of workstations
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. In particular, NASA is continuously gath...
Antonio J. Plaza
ANTSW
2004
Springer
14 years 26 days ago
Hypothesis Corroboration in Semantic Spaces with Swarming Agents
To anticipate and prevent acts of terrorism, Indications and Warnings analysts try to connect clues gleaned from massive quantities of complex data. Multi-agent approaches to suppo...
Peter Weinstein, H. Van Dyke Parunak, Paul Chiusan...
EMNLP
2011
12 years 7 months ago
Structured Relation Discovery using Generative Models
We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...