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» Generating Category Hierarchy for Classifying Large Corpora
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ACL
1990
13 years 9 months ago
Automatically Extracting and Representing Collocations for Language Generation
Collocational knowledge is necessary for language generation. The problem is that collocations come in a large variety of forms. They can involve two, three or more words, these w...
Frank A. Smadja, Kathleen McKeown
CSB
2004
IEEE
146views Bioinformatics» more  CSB 2004»
14 years 9 days ago
Automated Protein Classification Using Consensus Decision
We propose a novel technique for automatically generating the SCOP classification of a protein structure with high accuracy. High accuracy is achieved by combining the decisions o...
Tolga Can, Orhan Çamoglu, Ambuj K. Singh, Y...
BMCBI
2004
142views more  BMCBI 2004»
13 years 8 months ago
GOTree Machine (GOTM): a web-based platform for interpreting sets of interesting genes using Gene Ontology hierarchies
Background: Microarray and other high-throughput technologies are producing large sets of interesting genes that are difficult to analyze directly. Bioinformatics tools are needed...
Bing Zhang, Denise Schmoyer, Stefan Kirov, Jay Sno...
ECTEL
2007
Springer
14 years 2 months ago
Categorizing Learning Objects Based On Wikipedia as Substitute Corpus
As metadata is often not sufficiently provided by authors of Learning Resources, automatic metadata generation methods are used to create metadata afterwards. One kind of metadata ...
Marek Meyer, Christoph Rensing, Ralf Steinmetz
VIS
2004
IEEE
135views Visualization» more  VIS 2004»
14 years 9 months ago
Adaptive 4-8 Texture Hierarchies
We address the texture level-of-detail problem for extremely large surfaces such as terrain during realtime, view-dependent rendering. A novel texture hierarchy is introduced base...
Kenneth I. Joy, Lok M. Hwa, Mark A. Duchaineau