Text Analytics: Debating Technologies

Text Analytics: Debating Technologies

Course Content

Computational Argumentation is a recent research area in Natural Language Processing (NLP) that involves the identification of arguments, their components and structures in natural language texts as well as automatic argument construction and quality assessment. Beside innovative debating technologies, current approaches bear an enormous potential for exciting and innovative applications like evidence search engines, argumentative writing support, assisted reasoning systems, and many more.

The content of this seminar will highlight the recent developments in Computational Argumentation which are applied e.g. on social media, legal texts, essays and Wikipedia. In addition, we will discuss approaches in related areas like stance recognition, quality assessment and automatic argument construction.

Participants will gain an extensive overview of existing state-of-the-art approaches in Computational Argumentation and become acquainted with recent applications in this field.


Lecture: Thursday 13:30 – 15:10, Room S103 | 25

The first class will be held on April 14th 2016

Additional material will be distributed via the Moodle eLeaning platform. The required passcode will be announced during the first lecture.


Will be announced during the seminar.


The first three sessions will feature introductory lectures on argumentation, existing corpora for computational argumentation and argumentation mining. The program for the remainder of the seminar will be determined according to the number of participants and the topics to be discussed.

Date Lecture
14.04.16 Welcome Session
21.04.16 Introduction to Argument Mining
21.04.16 Computational Argumentation
12.05.16 Hands on session
02.06.16 Argument Identification
09.06.16 Component Classification
16.06.16 Extraction of Argumentation Structures
23.06.16 Stance Recognition
30.06.16 Argument Attribution
07.07.16 Automatic Argument Generation
14.07.16 Quality Assessment of Arguments & Wrap up


Each student is expected to

  • attend the seminar sessions and actively contribute to the discussion in the seminar
  • prepare a presentation on a topic/tool relevant for the seminar
  • present this presentation and be able to answer questions from the audience
  • prepare a term paper on the topic/tool

Teaching Staff

Christian Stab

Prof. Dr. Iryna Gurevych

We do not have fixed office hours. Please register via email if you need an appointment.