Claudia Schulz

Claudia Schulz, Ph.D.

Postdoctoral researcher

+49 6151 16-25293
+49 6151 16-25295

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 B113

Links

Research interests

  • Computational Argumentation and Argumentation Mining
  • Argumentation Theory
  • Logic Programming and Non-Monotonic Reasoning

Software

  • ArgTeach: web platform for learning how to find complete labellings in abstract argumentation
  • LABAS Justifier: graphical justifications of answer sets

Biographical information

Employment

  • since 05/2017: post-doctoral researcher at UKP Lab on the FAMULUS project, TU Darmstadt, Germany
  • 06/2016 – 03/2017: Subject Matter Specialist for Artificial Intelligence and Machine Learning at Outsmart Insights Ltd, UK

Education

  • 10/2012 – 03/2017: Ph.D. and Teaching Scholar at Imperial College London, UK
    • Thesis: “Developments in Abstract and Assumption-Based Argumentation and their Application in Logic Programming”
  • 10/2013 – 09/2015: Postgraduate Certificated in University Learning and Teaching (PGCert ULT) at Imperial College London, UK
  • 10/2011 – 09/2012: M.Sc. in Computing (Artificial Intelligence ) at Imperial College London, UK
    • Thesis: “Argumentation-Based Answer Set Justification”
  • 10/2008 – 09/2011: B.Sc. in Cognitive Science at Osnabrück University, Germany
    • Thesis: “How to deal with Ontologies in an Anchoring Framework”

Awards & Honours

  • 08/2017: 2nd year AAAI/EAAI 2017 New and Future AI Educators Award
  • 12/2016: AAAI/EAAI 2017 New and Future AI Educators Award
  • 03/2016: ACM UPE Student Chapter Scholarship Award
  • 11/2015: Selected Participant of Rising Stars in EECS
  • 08/2015: Selected Young Researcher of the 3rd Heidelberg Laureate Forum
  • 05/2015: Best Graduate Teaching Assistant Award
  • 03/2015: Google Prize for Excellence, 2nd Runner-up at the Google 2015 Poster and Demo Competition, Imperial College London)
  • 01/2015: Best Student 3-Minute Presentation at AAAI'15
  • 01/2015: SIGAI Student Travel Award
  • 11/2014: Ramamoorthy Best Paper Award at ICTAI'14
  • 11/2014: Best Student Paper Award at ICTAI'14
  • 09/2014: AISB Student Travel Award
  • 08/2013: Best Paper Award at the ICLP'13 DC
  • 08/2013: Winning team of the 20th Prolog Programming Contest
  • 05/2013: Corporate Partnership Programme Award for Academic Excellence
  • 06/2012: Teaching Scholarship from the Department of Computing, Imperial College London
  • 02/2012: Best Graduate at the Institute of Cognitive Science, Osnabrück University

Talks

Invited Talks

  • 05/2017: Leipzig University – “On the Non-Existence of Stable Labellings in Abstract Argumentation”
  • 04/2017: Workshop on Formal Argumentation in Online Discussions at Heinrich-Heine-Universität Düsseldorf – “How to Handle the Inconsistency of Stable Semantics”
  • 11/2016: Imperial College London – “What Argumentation can do for AI”
  • 01/2016: Heinrich-Heine-Universität Düsseldorf – “Rules & Arguments – Argumentation for Logic Programming”
  • 11/2014: TU Dresden – “Explaining Answer Sets using Argumentation Theory”
  • 10/2013: Imperial College London – “Yes – No – Yes – No – Yes… Is this how Argumentation works?”
  • 01/2013: King's College London – “Argumentation-Based Answer Set Justification”

Conference Talks

  • EAAI 2017
  • COMMA 2016 (Demo)
  • LPNRM 2015
  • AAAI 2015
  • ICTAI 2014
  • COMMA 2014
  • ICLP 2013

Workshop Talks

  • Cardiff Argumentation Forum 2016
  • AAAI/SIGAI DC 2015
  • International Workshop on Argumentation and Logic Programming 2015
  • Workshop on Logic Reasoning and Computation 2015
  • Summer School on Argumentation 2014
  • ACM Europe 2nd Chapter Workshop 2014
  • ICLP DC 2013
  • International Symposium on Logical Formalizations of Commonsense Reasoning 2013

Publications

Gruppiere nach: Datum | Typ des Eintrags | Keine Gruppierung
Springe zu: 2018 | 2017
Anzahl der Einträge: 6.

2018

Schulz, Claudia ; Sailer, Michael ; Kiesewetter, Jan ; Bauer, Elisabeth ; Fischer, Frank ; Fischer, Martin R. ; Gurevych, Iryna :
Automatic Recommendations for Data Coding: a use case from medical and teacher education.
[Online-Edition: https://fileserver.ukp.informatik.tu-darmstadt.de/UKP_Webpag...]
In: The 14th eScience IEEE International Conference, 29.10.2018--01.11.2018, Amsterdam, Netherlands. Proceedings of the 14th eScience IEEE International Conference
[Konferenz- oder Workshop-Beitrag], (2018) (Im Druck)

Schulz, Claudia ; Kiesewetter, Jan ; Sailer, Michael ; Bauer, Elisabeth ; Fischer, Martin R. ; Fischer, Frank ; Gurevych, Iryna :
The Theory of Scientific Reasoning and Argumentation in Practice.
[Online-Edition: https://fileserver.ukp.informatik.tu-darmstadt.de/UKP_Webpag...]
In: Bridging the Gap between Formal Argumentation and Actual Human Reasoning, 4.-5. Oktober 2018, Bochum.
[Konferenz- oder Workshop-Beitrag], (2018)

Hanselowski, Andreas ; Zhang, Hao ; Li, Zile ; Sorokin, Daniil ; Schiller, Benjamin ; Schulz, Claudia ; Gurevych, Iryna :
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification.
[Online-Edition: https://arxiv.org/abs/1809.01479]
In: EMNLP 2018, November 2 – November 4, 2018, Brussels. EMNLP 2018, FEVER Workshop
[Konferenz- oder Workshop-Beitrag], (2018)

Schulz, Claudia ; Eger, Steffen ; Daxenberger, Johannes ; Kahse, Tobias ; Gurevych, Iryna :
Multi-Task Learning for Argumentation Mining in Low-Resource Settings.
[Online-Edition: http://aclweb.org/anthology/N18-2006]
Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Association for Computational Linguistics
[Konferenz- oder Workshop-Beitrag], (2018)

Schulz, Claudia ; Sailer, Michael ; Kiesewetter, Jan ; Meyer, Christian M. ; Gurevych, Iryna ; Fischer, Martin R. ; Fischer, Frank :
Automatische Analyse von Diagnosekompetenzen in Fallsimulationen.
[Online-Edition: https://download.hrz.tu-darmstadt.de/media/FB20/Dekanat/Publ...]
6te Jahrestagung der Gesellschaft für Empirische Bildungsforschung (GEBF 2018)
[Konferenz- oder Workshop-Beitrag], (2018)

2017

Schulz, Claudia ; Sailer, Michael ; Kiesewetter, Jan ; Meyer, Christian M. ; Gurevych, Iryna ; Fischer, Frank ; Fischer, Martin R. :
Fallsimulationen und automatisches adaptives Feedback mittels Künstlicher Intelligenz in digitalen Lernumgebungen.
[Online-Edition: https://www.e-teaching.org/etresources/pdf/erfahrungsbericht...]
In: e-teaching.org Themenspecial „Was macht Lernen mit digitalen Medien erfolgreich?“ pp. 1-14.
[Artikel], (2017)

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