Advanced Topics in Language Processing

Syllabus/Synopsis

1. Data-driven Natural Language Processing (NLP) (2)
2. Machine Learning for NLP (2)
3. Advanced models for statistical parsing and tagging (8)
4. Learning lexical structures from text: collocations, idioms, verb classes (3)
5. Learning syntactic structures from text: supervised and unsupervised grammar (3) acquisition
6. Learning semantic structures from text: e.g. word space models, clustering (3)
7. Learning theories from text: data mining and knowledge acquisition from analysed text. (3)