Bilder vom Neuenheimer Feld, Heidelberg und der Universität Heidelberg

Lehrveranstaltungen
heiCO
Ressourcen	Fachschaft
Studien-FAQ	Technik-FAQ

Oldies but Goldies

Kursbeschreibung

Course	Module Abbreviation	Credit Points
BA-2010	AS-CL	8 LP
BA-2010[100%\|75%]	CS-CL	6 LP
BA-2010[50%]	BS-CL	6 LP
BA-2010[25%]	BS-AC	4 LP
Master	SS-CL, SS-TAC	8 LP

Lecturer/-innen	Michael Staniek
Module Type	Proseminar / Hauptseminar
Language	Englisch
First Session	12.11.2020
Time and Place	Thursday, 16:15-17:45, Online
End of Commitment Period	tbd.

Prerequisite for Participation

Mathematical Foundations of CL (or a comparable introductory class to linear algebra and theory of probability)

Programming I (Python)

Statistical Methods for CL (or a comparable introductory class to machine learning)

Assessment

Presentation Project

Content

This seminar is aimed at topics that are useful in general for Natural Language Processing but are not part of the official curriculum. Many of the algorithms in this had a main application that is not state of the art in NLP anymore, but still have side applications where they can help to improve current state of the art models. This seminar mostly deals with the basic of these algorithms. Here a rough topic list:

Expectation Maximization

Conditional Random Fields

Variational Inference

Gaussian Processes

Evolutionary algorithms

Linear Programming

Reparameterization

Lagrangian Relaxation

Structured Prediction

Decision Trees and Random Forests

Dynamic Programming

Attendants are expected to prepare one topic for the other students. Students are also expected to have a project with one Algorithm at the end of the exam.

Module Overview

Agenda

Datum

Sitzung

Materialien