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» Learning the Semantics of Words and Pictures
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CORR
2004
Springer
144views Education» more  CORR 2004»
13 years 7 months ago
The Google Similarity Distance
Words and phrases acquire meaning from the way they are used in society, from their relative semantics to other words and phrases. For computers the equivalent of `society' is...
Rudi Cilibrasi, Paul M. B. Vitányi
JBI
2008
127views Bioinformatics» more  JBI 2008»
13 years 7 months ago
Infrastructure for dynamic knowledge integration - Automated biomedical ontology extension using textual resources
We present a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of e-health and biomedicine application domains into account. Changing ...
Vít Novácek, Loredana Laera, Siegfri...
COLING
2002
13 years 7 months ago
Fine Grained Classification of Named Entities
While Named Entity extraction is useful in many natural language applications, the coarse categories that most NE extractors work with prove insufficient for complex applications ...
Michael Fleischman, Eduard H. Hovy
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
12 years 10 months ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
CIVR
2008
Springer
239views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Analyzing Flickr groups
There is an explosion of community-generated multimedia content available online. In particular, Flickr constitutes a 200-million photo sharing system where users participate foll...
Radu Andrei Negoescu, Daniel Gatica-Perez