# Textual Entailment as Syntactic Graph Distance: a rule based and a SVM based approach

Lecture slides:

- Textual Entailment as Syntactic Graph Distance: a rule based and a SVM based approach
- Classifying Textual Entailment (TE)
- Recognizing Textual Entailment (TE)
- Graph Matching (GM)
- Textual Entailment as Graph Matching (GM)
- What’s next
- Extended Dependency Graph (XDG)
- GM on XDG: definitions
- Finding the bijective function and evaluating the measure
- Constituent Similarity
- Dependency Similarity
- Textual Entailment Measure
- Some more details
- Estimating Parameters with SVM
- Feature Spaces
- Feature Spaces
- Used Resources
- Preliminary analysis (Rule-based System)
- Preliminary analysis (SVM-based system)
- Out from the Fairy Tale...
- ... and back to real life!!!!

*Author: Fabio Massimo Zanzotto, University Of Milano Bicocca*