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» A cognitively based approach to affect sensing from text
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CVPR
2007
IEEE
15 years 24 days ago
A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...
Alessio Dore, Matteo Pinasco, Carlo S. Regazzoni
JMLR
2012
12 years 1 months ago
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshu...
URBAN
2011
185views more  URBAN 2011»
13 years 5 months ago
Supporting geographically-aware web document foraging and sensemaking
This paper reports on the development and application of strategies and tools for geographic information seeking and knowledge building that leverages unstructured text resources ...
Brian M. Tomaszewski, Justine Blanford, Kevin Ross...
ICCBR
2010
Springer
13 years 8 months ago
Taxonomic Semantic Indexing for Textual Case-Based Reasoning
Abstract. Case-Based Reasoning (CBR) solves problems by reusing past problemsolving experiences maintained in a casebase. The key CBR knowledge container therefore is its casebase....
Juan A. Recio-García, Nirmalie Wiratunga
HICSS
2005
IEEE
133views Biometrics» more  HICSS 2005»
14 years 4 months ago
User-Oriented Relevance Judgment: A Conceptual Model
The concept of relevance has been heatedly debated in last decade. Not satisfied with the narrow and technical definition of system relevance, researchers turn to the subjective a...
Zhiwei Chen, Yunjie Xu