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Cursus: KI3V21001
KI3V21001
Models for Language Processing
Cursus informatie
CursuscodeKI3V21001
Studiepunten (EC)7,5
Cursusdoelen

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This course is part of the track Learning and Computation.

This course will focus on modern machine learning based and statistical systems and models for processing natural language. The course will cover advanced formalisms and techniques (both neural and statistical, as appropriate) for predicting syntactic structure, semantic structure, as well as models for machine translation. A portion of the course will be devoted to applications of natural language understanding (e.g. models of inference), and some transfer learning techniques like pretrained language models may be included. Together these parts will provide students with an overview of the theory and practice in current data-driven natural language processing, and provide the building blocks for structure processing, language understanding and machine translation systems.

 
Topics: selection of syntactic parsing/structure prediction (dependency based, or other formalisms), semantic structure (semantic role labelling, sentential/compositional meaning representations), inference, statistical machine translation (IBM models, simple neural models).
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