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» Nested Ordered Sets and their Use for Data Modelling
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ACL
2008
15 years 8 months ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
SSDBM
2010
IEEE
185views Database» more  SSDBM 2010»
15 years 5 months ago
DESSIN: Mining Dense Subgraph Patterns in a Single Graph
Currently, a large amount of data can be best represented as graphs, e.g., social networks, protein interaction networks, etc. The analysis of these networks is an urgent research ...
Shirong Li, Shijie Zhang, Jiong Yang
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
15 years 4 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
DATE
1998
IEEE
106views Hardware» more  DATE 1998»
15 years 11 months ago
March Tests for Word-Oriented Memories
Most memory test algorithms are optimized tests for a particular memory technology and a particular set of fault models, under the assumption that the memory is bit-oriented; i.e....
A. J. van de Goor, Issam B. S. Tlili
COLING
2008
15 years 8 months ago
A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...
Deyu Zhou, Yulan He
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