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Introduction
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Classroom Contents
Learning Constraint-Based Grammars from Representative Data - 2008
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- 1 Introduction
- 2 Research interests
- 3 Natural language processing
- 4 Next generation semantic web
- 5 Example
- 6 Semantic Representation
- 7 Grammar Formalism
- 8 Grammar Formalism Architecture
- 9 Semantic Representations
- 10 Formalism
- 11 Semantics
- 12 ConstraintBased Grammar
- 13 Learnability Theorem
- 14 Inductive Logic Programming
- 15 Background Knowledge
- 16 Representation Lattice
- 17 Grammar Approximation
- 18 Different Types of Algorithms
- 19 Concrete Example
- 20 Approximation
- 21 Problem formulation
- 22 Concept identity
- 23 Qualitative evaluation
- 24 Advantages
- 25 Conclusion
- 26 Future Directions
- 27 Automatic Population of Knowledge
- 28 Machine Transmission
