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» Learning Word Representations from Relational Graphs
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ANLP
1992
89views more  ANLP 1992»
15 years 5 months ago
Computational Lexicons: the Neat Examples and the Odd Exemplars
When implementing computational lexicons it is important to keep in mind the texts that a NLP system must deal with. Words relate to each other in many different, often queer, way...
Roberto Basili, Maria Teresa Pazienza, Paola Velar...
GI
2009
Springer
15 years 8 months ago
Perspectives on Tag Clouds for Supporting Reflection in Self-organised Learning
: Tags are popular for organising information in social software based on the personal views of the participants on the information. Tags provide valuable attention meta-data on a ...
Christian Glahn, Marcus Specht, Rob Koper
DSS
2006
116views more  DSS 2006»
15 years 3 months ago
Matching knowledge elements in concept maps using a similarity flooding algorithm
Concept mapping systems used in education and knowledge management emphasize flexibility of representation to enhance learning and facilitate knowledge capture. Collections of con...
Byron Marshall, Hsinchun Chen, Therani Madhusudan
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 8 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
SOFSEM
1999
Springer
15 years 8 months ago
Coherent Concepts, Robust Learning
We study learning scenarios in which multiple learners are involved and “nature” imposes some constraints that force the predictions of these learners to behave coherently. Thi...
Dan Roth, Dmitry Zelenko