Learning Constraint-Based Grammars from Representative Data - 2008

Learning Constraint-Based Grammars from Representative Data - 2008

Center for Language & Speech Processing(CLSP), JHU via YouTube Direct link

Approximation

20 of 28

20 of 28

Approximation

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Learning Constraint-Based Grammars from Representative Data - 2008

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

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