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» Deriving Concept Hierarchies from Text
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KER
2008
103views more  KER 2008»
13 years 7 months ago
A context-sensitive framework for lexical ontologies
Human categorization is neither a binary nor a context-free process. Rather, the criteria that govern the use and recognition of certain concepts may be satisfied to different deg...
Tony Veale, Yanfen Hao
SEMWEB
2009
Springer
14 years 1 months ago
Learning Semantic Query Suggestions
An important application of semantic web technology is recognizing human-defined concepts in text. Query transformation is a strategy often used in search engines to derive querie...
Edgar Meij, Marc Bron, Laura Hollink, Bouke Huurni...
TKDE
2010
224views more  TKDE 2010»
13 years 5 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
ICML
2004
IEEE
14 years 8 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer
CORR
1999
Springer
164views Education» more  CORR 1999»
13 years 7 months ago
Annotation graphs as a framework for multidimensional linguistic data analysis
In recent work we have presented a formal framework for linguistic annotation based on labeled acyclic digraphs. These `annotation graphs' oer a simple yet powerful method fo...
Steven Bird, Mark Liberman