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» Semiautomatic Labelling of Semantic Features
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SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
13 years 9 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
ER
1993
Springer
163views Database» more  ER 1993»
13 years 11 months ago
Using Conceptual Graph Theory to Support Schema Integration
Two major problems in schema integration are to identify correspondences between different conceptual schemas and to verify that the proposed correspondences are consistent with th...
Paul Johannesson
ACL
2007
13 years 9 months ago
Conditional Modality Fusion for Coreference Resolution
Non-verbal modalities such as gesture can improve processing of spontaneous spoken language. For example, similar hand gestures tend to predict semantic similarity, so features th...
Jacob Eisenstein, Randall Davis
PR
2006
101views more  PR 2006»
13 years 7 months ago
Feature-based approach to semi-supervised similarity learning
For the management of digital document collections, automatic database analysis still has ties to deal with semantic queries and abstract concepts that users are looking for. When...
Philippe Henri Gosselin, Matthieu Cord
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 8 months ago
Extracting shared subspace for multi-label classification
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye