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» Semiautomatic Labelling of Semantic Features
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SDM
2009
SIAM
105views Data Mining» more  SDM 2009»
14 years 4 months ago
Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
The annotation of words and phrases by ontology concepts is extremely helpful for semantic interpretation. However many ontologies, e.g. WordNet, are too fine-grained and even hu...
Gerhard Paaß, Frank Reichartz
ACL
2010
13 years 5 months ago
Inducing Domain-Specific Semantic Class Taggers from (Almost) Nothing
This research explores the idea of inducing domain-specific semantic class taggers using only a domain-specific text collection and seed words. The learning process begins by indu...
Ruihong Huang, Ellen Riloff
ESWS
2010
Springer
14 years 14 days ago
Interactive Relationship Discovery via the Semantic Web
This paper presents an approach for the interactive discovery of relationships between selected elements via the Semantic Web. It emphasizes the human aspect of relationship discov...
Philipp Heim, Steffen Lohmann, Timo Stegemann
ICIP
2000
IEEE
14 years 9 months ago
Discovering Recurrent Visual Semantics in Consumer Photographs
We present techniques to semi-automatically discover Recurrent Visual Semantics (RVS) -the repetitive appearance of visually similar elements such as objects and scenes- in consum...
Alejandro Jaimes, Ana B. Benitez, Shih-Fu Chang, A...
EMNLP
2008
13 years 9 months ago
A Japanese Predicate Argument Structure Analysis using Decision Lists
This paper describes a new automatic method for Japanese predicate argument structure analysis. The method learns relevant features to assign case roles to the argument of the tar...
Hirotoshi Taira, Sanae Fujita, Masaaki Nagata