A linguistic approach to semantic extraction from text

Keyphrases

• Semantic Content 100%
• Linguistic Approach 100%
• Clause Boundary 100%
• Text Understanding 100%
• Ontology Learning 100%
• Semantic Extraction 100%
• Learning Approaches 50%
• Machine Learning 50%
• Heuristic-based 50%
• Finite Automata 50%
• Sentence-based 50%
• Semantic Retrieval 50%
• Sentence Structure 50%
• Automatic Extraction 50%
• Boundary Detection 50%
• Human Intervention 50%
• Distilling 50%
• Semantic Representation 50%
• Corpus-based 50%
• Ontology Learning from Text 50%
• English Corpus 50%
• Linguistic Model 50%
• Sentence Length 50%
• Automatic Understanding 50%
• English Sentences 50%
• Complete Automaton 50%

Computer Science

• Ontology 100%
• Clause Boundary 66%
• Learning Approach 33%
• Automaton 33%
• State Automaton 33%
• Boundary Detection 33%
• Human Intervention 33%
• Acquire Knowledge 33%
• Detailed Result 33%
• Semantic Representation 33%
• Sentence Structure 33%
• Linguistic Model 33%
• Sentence Length 33%
• Machine Learning 33%
• Learning System 33%
• Information Retrieval 33%