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

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2019 | 2018 | 2017
Anzahl der Einträge: 12.

2019

Schulz, Claudia ; Meyer, Christian M. ; Gurevych, Iryna (2019):
Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning.
Hawaii, USA, In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), [Online-Edition: https://aaai.org/ojs/index.php/AAAI/article/view/4676/4554],
[Konferenzveröffentlichung]

Hanselowski, Andreas ; Stab, Christian ; Schulz, Claudia ; Li, Zile ; Gurevych, Iryna (2019):
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking.
In: Proceedings of the 2019 SIGNLL Conference on Computational Natural Language Learning (CONLL 2019), Hong Kong, China, In: The 2019 SIGNLL Conference on Computational Natural Language Learning (CONLL 2019), Hong Kong, China, 03.11.2019-04.11.2019, [Online-Edition: https://public.ukp.informatik.tu-darmstadt.de/UKP_Webpage/pu...],
[Konferenzveröffentlichung]

Pfeiffer, Jonas ; Meyer, Christian M. ; Schulz, Claudia ; Kiesewetter, Jan ; Zottmann, Jan ; Sailer, Michael ; Bauer, Elisabeth ; Fischer, Frank ; Fischer, Martin R. ; Gurevych, Iryna (2019):
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning.
In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), In: The 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, 03.11.2019-07.11.2019, [Online-Edition: https://public.ukp.informatik.tu-darmstadt.de/UKP_Webpage/pu...],
[Konferenzveröffentlichung]

Schulz, Claudia ; Meyer, Christian M. ; Kiesewetter, Jan ; Sailer, Michael ; Bauer, Elisabeth ; Fischer, Martin R. ; Fischer, Frank ; Gurevych, Iryna (2019):
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains.
In: The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, 28.07.2019-02.08.2019, [Online-Edition: https://www.aclweb.org/anthology/P19-1265],
[Konferenzveröffentlichung]

Eger, Steffen ; Şahin, Gözde Gül ; Rücklé, Andreas ; Lee, Ji-Ung ; Schulz, Claudia ; Mesgar, Mohsen ; Swarnkar, Krishnkant ; Simpson, Edwin ; Gurevych, Iryna (2019):
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems.
In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, In: The 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 02.06.2019--07.10.2019, [Online-Edition: https://www.aclweb.org/anthology/N19-1165],
[Konferenzveröffentlichung]

2018

Schulz, Claudia ; Meyer, Christian M. ; Sailer, Michael ; Kiesewetter, Jan ; Bauer, Elisabeth ; Fischer, Frank ; Fischer, Martin R. ; Gurevych, Iryna (2018):
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning.
In: ArXiv e-prints, ISSN 1811.10550,
[Online-Edition: https://arxiv.org/abs/1811.10550],
[Artikel]

Schulz, Claudia ; Sailer, Michael ; Kiesewetter, Jan ; Bauer, Elisabeth ; Fischer, Frank ; Fischer, Martin R. ; Gurevych, Iryna (2018):
Automatic Recommendations for Data Coding: a use case from medical and teacher education.
In: Proceedings of the 14th eScience IEEE International Conference, Amsterdam, Netherlands, 29.10.2018--01.11.2018, DOI: 10.1109/eScience.2018.00100,
[Online-Edition: https://fileserver.ukp.informatik.tu-darmstadt.de/UKP_Webpag...],
[Konferenzveröffentlichung]

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

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

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

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

2017

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

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