Event Processing
Module Description
| Course | Module Abbreviation | Credit Points |
|---|---|---|
| BA-2010 | AS-FL | 8 LP |
| Master | SS-CL, SS-FAL | 8 LP |
| Lecturer | Michael Herweg |
| Module Type | |
| Language | English |
| First Session | 27.04.2020 |
| Time and Place | Monday, 14:15-15:45, INF 327 / SR 3 |
| Commitment Period | tbd. |
Prerequisite for Participation
advanced BA students, MA students
Assessment
Presentation and project or term paper
Inhalt
The representation and processing of information about events, their participants and their causal and temporal properties and relations is an important ingredient of systems of information extraction, text summarization, time line determination etc. with applications in diverse domains such as personalized news systems, event monitoring and risk analysis, financial analysis, and medical and biological analysis. After an introduction to the most influential theories of event representation, we will focus on recent developments in event extraction and classification, with a particular focus on neural-network-based deep learning approaches in different domains of application.
Module Overview
Agenda
| Date | Session | Materials |
Literature
will be announced in the class
