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JASIS
2008
102views more  JASIS 2008»
15 years 3 months ago
Hierarchical summarization of large documents
mation science has shown that human abstractors extract sentences for summaries based on the hierarchical structure of documents; however, the existing automatic summarization mode...
Christopher C. Yang, Fu Lee Wang
158
Voted
ICMENS
2003
IEEE
153views Hardware» more  ICMENS 2003»
15 years 8 months ago
Biologically Inspired Intelligent Robots Using Artificial Muscles
Humans throughout history have always sought to mimic the appearance, mobility, functionality, intelligent operation, and thinking process of biological creatures. This field of b...
Yoseph Bar-Cohen
132
Voted
BMCBI
2008
85views more  BMCBI 2008»
15 years 3 months ago
Normalizing biomedical terms by minimizing ambiguity and variability
Background: One of the difficulties in mapping biomedical named entities, e.g. genes, proteins, chemicals and diseases, to their concept identifiers stems from the potential varia...
Yoshimasa Tsuruoka, John McNaught, Sophia Ananiado...
WWW
2007
ACM
16 years 4 months ago
Improving Ontology Recommendation and Reuse in WebCORE by Collaborative Assessments
In this work, we present an extension of CORE [2], a tool for Collaborative Ontology Reuse and Evaluation. The system receives an informal description of a specific semantic domai...
Iván Cantador, Miriam Fernández, Pab...
CHI
2009
ACM
16 years 4 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami