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» Evaluation of text clustering methods using wordnet
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IMCSIT
2010
15 years 4 months ago
Learning taxonomic relations from a set of text documents
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...
Mari-Sanna Paukkeri, Alberto Pérez Garc&iac...
INTERSPEECH
2010
15 years 1 months ago
Extractive summarization using a latent variable model
Extractive multi-document summarization is the task of choosing sentences from a set of documents to compose a summary text in response to a user query. We propose a generative ap...
Asli Çelikyilmaz, Dilek Hakkani-Tür
CHI
2006
ACM
16 years 6 months ago
Few-key text entry revisited: mnemonic gestures on four keys
We present a new 4-key text entry method that, unlike most few-key methods, is gestural instead of selection-based. Importantly, its gestures mimic the writing of Roman letters fo...
Jacob O. Wobbrock, Brad A. Myers, Brandon Rothrock
IDA
2003
Springer
15 years 11 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 9 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin