Personal Information

Name

Dr. Ivan Habernal

Position
Postdoctoral Researcher
Affiliation
UKP-TUDA
E-Mail
habernal(a-t)ukp.informatik.tu-darmstadt.de
Office
S2|02 B107
Address

TU Darmstadt - FB 20
Hochschulstraße 10
64289 Darmstadt
Germany

Web

 

Google Scholar profile
GitHub profile

Research Interests

  • Computational Argumentation and Argumentation Mining
  • Natural Language Processing of User-Generated Content
  • Opinion Mining in Social Media

Biographical Information

Employment 

  • Since 09/2013: post-doctoral researcher at UKP Lab, Technical University Darmstadt, Germany
  • 10/2012 - 08/2013: research associate at Department of Computer Science and Engineering, University of West Bohemia, Plzen, Czech Republic

  • 07/2005 - 07/2006: J2EE developer at SoftEU, Pilsen, Czech Republic

Education

  • 2012: Ph.D. in Computer Science, University of West Bohemia, Czech Republic
    Thesis: "Semantic Web Search Using Natural Language"
  • 2007: MSc. in Computer Science, University of West Bohemia, Czech Republic
    Thesis: "Lexical Class Semantic Analysis

Professional Activities

Talks and resources

  • Recent Trends in Computational Argumentation. Invited talk, Zayed University, Dubai, October 2017
  • Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM, ACL 2016 long paper, Berlin, Germany, August 2016 (undefinedslides in PDF)
  • Existing Resources for Debating Technologies (joint talk with Christian Stab), Dagstuhl Seminar on Debating Technologies, Wadern, Germany, December 2015 (undefinedslides in PDF)
  • Detecting Argument Components and Structures (joint talk with Christian Stab), Dagstuhl Seminar on Debating Technologies, Wadern, Germany, December 2015 (undefinedslides in PDF)
  • A brief introduction to argument(ation) mining (talk held by Iryna Gurevych), Dagstuhl Seminar on Debating Technologies, Wadern, Germany, December 2015 (undefinedslides in PDF)
  • undefinedPoster in PDF presented at EMNLP 2015 for our article Exploiting Debate Portals for Semi-supervised Argumentation Mining in User-Generated Web Discourse, September 2015.
  • Machine learning for argumentation mining: Quick overview at the 2nd Workshop on Argumentation Mining, NAACL 2015, Denver, Colorado, June 2015 (undefinedslides in PDF)

Chair

Program committee member

Editor

Editorial board

Reviewer

Press coverage

Student supervision

  • Anil Narassiguin (2014, Internship, "Identification of Argumentative Texts in User-Generated Content on Educational Controversies")
  • Raffael Hannemann (2015, Master Thesis, "Serious Games for Large-Scale Argumentation Mining")
  • Christian Pollak (2015, Student Research Project)
  • Omnia Zayed (2015, Internship)
  • Dicle Öztürk (2015, Internship)
  • Christian Pollak (2016, Master Thesis)
  • Patrick Pauli (2017, Master Thesis)
  • Christopher Klamm (2017, Master Thesis)

Publications

Additional Attributes

Type

Detecting Argument Components and Structures

Christian Stab, Ivan Habernal
In: Report of Dagstuhl Seminar on Debating Technologies (15512), Vol. 5, p. 32--32, December 2015
[Online-Edition: http://www.dagstuhl.de/15512]
[Article]

Existing Resources for Debating Technologies

Christian Stab, Ivan Habernal
In: Report of Dagstuhl Seminar on Debating Technologies (15512), Vol. 5, p. 32-33, December 2015
[Online-Edition: http://www.dagstuhl.de/15512]
[Article]

Exploiting Debate Portals for Semi-supervised Argumentation Mining in User-Generated Web Discourse

Ivan Habernal, Iryna Gurevych
In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), p. 2127--2137, September 2015
Association for Computational Linguistics
[Online-Edition: https://github.com/UKPLab/emnlp2015]
[Inproceedings]
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