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SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
14 years 10 days 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
MICAI
2010
Springer
14 years 8 months ago
Information Retrieval with a Simplified Conceptual Graph-Like Representation
We argue for that taking into account semantic relations between words in the text can improve information retrieval performance. We implemented the process of information retrieva...
Sonia Ordoñez-Salinas, Alexander F. Gelbukh
78
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IJAR
2006
89views more  IJAR 2006»
14 years 9 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
SAC
2005
ACM
15 years 3 months ago
Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks
A great jump towards the advent of the Semantic Web will take place when a critical mass of web resources is available for use in a semantic way. This goal can be reached by the c...
Dario Bonino, Fulvio Corno, Federico Pescarmona
COMPUTING
1999
99views more  COMPUTING 1999»
14 years 9 months ago
A Minimal Line Property Preserving Representation of Line Images
In line image understandingaminimal lineproperty preserving(MLPP)graphoftheimagecompliments the structural information in geometric graph representations like the run graph. With ...
Mark Burge, Walter G. Kropatsch