Parsing: |
||
[Marcu] |
Aug 27 |
Introduction to NLP and Parsing |
[Marcu] |
Aug 29 |
Efficient
Parsing: The Chart Parsing Algorithm |
[Marcu] |
Sept 3 |
Probabilistic/Stochastic Parsing Models: Probabilistic Context Free Grammars |
[Marcu] |
Sept 5 |
Probabilistic/Stochastic Parsing Models: History-based Models (1) |
[Marcu] |
Sept 10 |
Probabilistic/Stochastic Parsing Models: History-based Models (2) |
[Marcu] |
Sept 12 |
Discourse Parsing |
Semantics: |
|
|
[Marcu] |
Sept 17 |
Introduction to
Semantics: Theories of Meaning |
[Marcu] |
Sept 19 |
The Relation Between Syntax and Semantics |
[Marcu] |
Sept 24 |
Shallow semantics in current NLP applications |
Statistical NLP: |
|
|
[Marcu] |
Sept 26 |
Supervised Learning Methods Applied to NLP |
[Marcu] |
Oct 1 |
Bootstrapping
Methods Applied to NLP |
[Marcu] |
Oct 3 |
Unsupervised Learning Methods Applied to NLP |
[Marcu] |
Oct 8 |
Unsupervised Learning Methods Applied to NLP |
[Marcu] |
Oct 10 |
Designing Experiments and Evaluating Hypotheses |
Generation: |
|
|
[Hovy] |
Oct 15 |
Knowledge Representation for NLP |
[Hovy] |
Oct 17 |
Knowledge Representation for NLP |
[Hovy] |
Oct 22 |
free |
[Hovy] |
Oct 24 |
Realization 1: Templates and Phrasal Generation |
[Hovy] |
Oct 29 |
Realization 2: Feature-Based Generation |
[Hovy] |
Oct 31 |
Text Planning 1:
Text Structure and Schemas |
[Hovy] |
Nov 5 |
Text Planning 2: RST and Text Plans |
Applications: |
|
|
[Hovy] |
Nov 7 |
Microplanning |
[Hovy] |
Nov 12 |
Generator Control through Pragmatics |
[Hovy] |
Nov 14 |
Machine Translation 1: Theory and Symbolic Methods |
[Hovy] |
Nov 19 |
Machine Translation 2: Statistical Methods |
[Hovy, Marcu] |
Nov 21 |
Text Summarization and Question Answering |
[Hovy] |
Nov 26 |
Speech
Recognition |
[Oard] |
Dec 3 |
Information Retrieval |
[Leuski] |
Dec 5 |
Interfaces for
NLP Systems |
There will be 3
assignments, each worth 30% of the final mark. The final will be an essay style
take-home exam, worth 10% of the total mark.