1. Introduction to the course: slides in ppt
2. General introduction to Natural Language Generation: slides in ppt
3. The Incremental Algorithm (1): the algorithm. slides in ppt
4. The Incremental Algorithm (2): testing the algorithm. slides in ppt
5. Referring to sets (1): general principles. slides in pdf
6. Referring to sets (2): aiming for coherence. slides in ppt
7. Referring to sets (3): avoiding surface ambiguities. slides in ppt
8. Referring to sets (4): concluding remarks. slides in ppt
9. Allowing hearers to find the referent (1): an algorithm for referring to items in hierarchical domains. slides in ppt
10. Allowing hearers to find the referent (2): general remarks. slides in ppt
11. Allowing hearers to find the referent (3): psycholinguistic studies. slides in ppt
12. Generating vague descriptions (1): the algorithm. slides in pdf
13. Generating vague descriptions (2): Why be vague? slides in ppt
14. Reference and quantification: an account based on Description Logic. slides in ppt. And the same slides in pdf (in case of problems with the rendering of symbols in ppt)
15. Open Questions slides in ppt