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» Towards a General Entity Representation Model
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137
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NIPS
2008
15 years 1 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
101
Voted
SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
15 years 2 months ago
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
Pavel P. Kuksa, Yanjun Qi
106
Voted
CIKM
2005
Springer
15 years 6 months ago
Predicting accuracy of extracting information from unstructured text collections
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...
Eugene Agichtein, Silviu Cucerzan
92
Voted
GIS
2009
ACM
15 years 7 months ago
A salience-based approach for the modeling of landscape descriptions
While conventional GIS maps have long been a privileged way for the integration and diffusion of geographical information, novel forms of representation and description of urban ...
Jean-Marie Le Yaouanc, Eric Saux, Christophe Clara...
101
Voted
IV
2005
IEEE
99views Visualization» more  IV 2005»
15 years 6 months ago
Heterogeneous Objects Modelling and Rendering Using Implicit Complexes
This paper describes a technology for modelling and rendering heterogeneous objects containing entities of various dimensionalities within a cellular-functional framework based on...
Elena Kartasheva, Valery Adzhiev, Peter Comninos, ...