Module Descriptor School of Computer Science and Statistics
| Module Code | CS4062 |
| Module Name | Artificial Intelligence II / Machine Learning for Natural Langua |
| Module Short Title | |
| ECTS | 5 |
| Semester Taught | |
| Contact Hours | Lecture hours: 33, Lab hours: 11 |
| Module Personnel | Erwan Moreau, Liliana Mamani-Sanchez |
| Learning Outcomes | Know various ML methods, use a ML toolkit, complete a small Text categorisation system. |
| Learning Aims | An in-depth introduction to AI and Machine Learning methods for NLP |
| Module Content | Machine Learning for Natural Language Processing: Text categorisation, user-interface agents and issues, dimensionality reduction, probabilistic classification (Naive Bayes classifiers: multivariate Bernoulli, multinomial and continuous models), symbolic methods (decision trees, decision rules), instance-based methods (k-NN, case-based reasoning), other supervised methods (neural nets, SVM), unsupervised learning. |
| Recommended Reading List | Machine Learning for Natural Language Processing. European Summer School of Logic, Language and Information, by Martin Emms and Saturnino Luz (course reader. ESSLLI'07, Dublin, 2007) Plus course notes. |
| Module Prerequisites | Programming competence (e.g. CS 3011) |
| Assessment Details | Exam (90%) and coursework (10%) |
| Module Website | http://www.scss.tcd.ie/~moreaue/cs4062 |
| Academic Year of Data |