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ACL
2010
14 years 7 months ago
Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...
Jenny Rose Finkel, Christopher D. Manning
CAISE
1999
Springer
15 years 1 months ago
A Uniform Approach to Inter-model Transformations
Whilst it is a common task in systems integration to have to transform between di erent semantic data models, such inter-model transformations are often speci ed in an ad hoc manne...
Peter McBrien, Alexandra Poulovassilis
69
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KDD
2007
ACM
146views Data Mining» more  KDD 2007»
15 years 10 months ago
Predictive discrete latent factor models for large scale dyadic data
Deepak Agarwal, Srujana Merugu
ADBIS
2010
Springer
142views Database» more  ADBIS 2010»
14 years 4 months ago
Towards a Model for the Multidimensional Analysis of Field Data
Integration of spatial data into multidimensional models leads to the concept of Spatial OLAP (SOLAP). Usually, SOLAP models exploit discrete spatial data. Few works integrate cont...
Sandro Bimonte, Myoung-Ah Kang