Semi-supervised learning of statistical models for natural language understanding

Keyphrases

• Statistical Model 100%
• Support Vector Machine 100%
• Semi-supervised Learning 100%
• Hidden Markov 100%
• Natural Language Understanding 100%
• Meaning Representation 66%
• Semantic Annotation 66%
• Conditional Random Fields 66%
• Abstract Semantics 66%
• Structural Relationship 33%
• Computational Model 33%
• Relative Error 33%
• Reduction Rate 33%
• Superior Performance 33%
• Communicator 33%
• Annotated Dataset 33%
• DARPA 33%
• F-measure 33%
• Error Reduction 33%
• Semantic Meaning 33%
• State Model 33%
• Derivation Rules 33%
• Learning Framework 33%
• Hybrid Framework 33%
• Discriminative Training 33%
• Word Semantics 33%
• Embedded Semantics 33%
• Semantic Tags 33%
• Machine Training 33%

Computer Science

• Support Vector Machine 100%
• Semisupervised Learning 100%
• Natural-Language Understanding 100%
• Semantic Annotation 66%
• Conditional Random Field 66%
• Baseline Approach 66%
• Superior Performance 33%
• Experimental Result 33%
• Annotation 33%
• Learning Framework 33%
• And-States 33%
• Computational Modeling 33%
• Structural Relation 33%
• Derivation Rule 33%
• Relative Error 33%