Graph Based Multi-View Learning for CDL Relation Classification

No abstract is available for this paper.

• Publication year

  2009

• Venue

  International Computer Science Conference

• Publication date

  2009-09-14

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/ICSC.2009.97
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Relation Classification for Semantic Structure Annotation of Text

  2008cited by this paper
• Multi-View Learning in the Presence of View Disagreement

  2008cited by this paper
• Annotating an Extension Layer of Semantic Structure for Natural Language Text

  2008cited by this paper
• Semi-Supervised Learning by Mixed Label Propagation

  2007cited by this paper
• Relation Extraction Using Label Propagation Based Semi-Supervised Learning

  2006cited by this paper
• Self-training and Co-training for Semantic Role Labeling: Primary Report

  2006cited by this paper
• Word Sense Disambiguation Using Label Propagation Based Semi-Supervised Learning

  2005cited by this paper
• Graph based multi-modality learning

  2005cited by this paper
• CDL ( Concept Description Language ) : A Common Language for Semantic Computing

  2005cited by this paper
• Co-Training and Expansion: Towards Bridging Theory and Practice

  2004cited by this paper
• Learning with Local and Global Consistency

  2003cited by this paper
• Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions

  2003cited by this paper
• Learning from labeled and unlabeled data with label propagation

  2002cited by this paper
• Cluster Kernels for Semi-Supervised Learning

  2002cited by this paper
• Agile Software Development

  2002cited by this paper
• Combining Labeled and Unlabeled Data for MultiClass Text Categorization

  2002cited by this paper
• Adaptive View Validation: A First Step Towards Automatic View Detection

  2002cited by this paper
• PAC Generalization Bounds for Co-training

  2001influential reference
• Analyzing the effectiveness and applicability of co-training

  2000cited by this paper
• Unsupervised Models for Named Entity Classification

  1999cited by this paper
• Combining labeled and unlabeled data with co-training

  1998cited by this paper

• A Graphbased Framework for Multi-Task Multi-View Learning

  2011cites this paper
• Semantic Relation Extraction Based on Semi-supervised Learning

  2010cites this paper
• Graph Based Multi-View Learning for Semantic Relation Extraction

  2010cites this paper