Course manual 2024/2025

Objectives

describe computational models for learning meaning representations for words and sentences
discuss the strengths and limitations of these methods
construct and implement models to learn meaning representations for words and sentences
evaluate these models experimentally and analyse their performance
use the above models in NLP applications

Learning activities

Activity	Hours
Hoorcollege	26
Werkcollege	14
Self study	128
Total	168	(6 EC x 28 uur)

Attendance

This programme does not have requirements concerning attendance (TER-B).

Assessment

Item and weight	Details
Final grade

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl

Course structure

Weeknummer	Onderwerpen	Studiestof
1
2
3
4
5
6
7
8

Owner	Master Logic
Coordinator	Martha Lewis
Part of	Master Artificial Intelligence, Master Logic, Master Logic, track Logic and Computation, Master Logic, track Logic and Philosophy, Master Logic, track Logic and Language, Master Logic, track Logic and Mathematics, Master Logic, track Logic Year, year 1 Master Logic, track Exchange, year 1

Advanced Topics in Computational Semantics