Computational Argumentation
Kursbeschreibung
| Studiengang | Modulkürzel | Leistungs- bewertung |
|---|---|---|
| BA-2010[100%|75%] | CS-CL | 6 LP |
| BA-2010[50%] | BS-CL | 6 LP |
| BA-2010[25%] | BS-AC, BS-FL | 4 LP |
| Dozenten/-innen | Juri Opitz |
| Veranstaltungsart | |
| Sprache | Deutsch |
| Erster Termin | 30.04.2020 |
| Zeit und Ort | Donnerstag, 11:15-12:45, INF 329 / SR 26 |
| Commitment-Frist | tbd. |
Teilnahmevoraussetzungen
Programmieren I, ECL, Logik
Leistungsnachweis
Präsentation einer Forschungsarbeit sowie Hausarbeit oder Projekt.
Inhalt
Humans argue all the time. For example, argumentation can aid us in pondering solutions for complex and controversial issues (deliberation). For this and other reasons, interest in computational argumentation has surged over the last years. In this seminar, we start by discussing argumentation representation frameworks grounded in philosophy (e.g., "argumentation schemes" or the "Toulmin model"). Second, we examine computational approaches that target (i) the solution of practical argumentation tasks (e.g., "stance detection": is this argument "pro" or "con"?) as well as (ii) the extraction of full argumentative structures with the ultimate goal of an in-depth analysis of arguments that allows for inference and/or explanation.
Kursübersicht
Seminarplan
| Datum | Sitzung | Materialien |
Literatur
* Lawrence and Reed (2019). Argument Mining: A Survey [
1
]
* Walton and Macagno (2016). A Classification System for Argumentation Schemes [
2
]
* Peldszus and Stede (2013). From argument diagrams to argumentation mining in texts: a survey [
3
]
