i

Dieser Webauftritt wurde archiviert und wird nicht mehr aktualisiert.

Bei technischen Fragen kontaktieren Sie bitte das Webteam. Es gilt die Datenschutzerklärung der TU Darmstadt.

Claudia Schulz

Jump to content Log in | Deutsch

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

Exportieren als [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2020 | 2019 | 2018 | 2017
Anzahl der Einträge: 14.

2020

Bauer, Elisabeth ; Sailer, Michael ; Kiesewetter, Jan ; Shaffer, David Williamson ; Schulz, Claudia ; Pfeiffer, Jonas ; Gurevych, Iryna ; Fischer, Martin R. ; Fischer, Frank (2020):
Pre-Service Teachers’ Diagnostic Argumentation: What is the Role of Conceptual Knowledge and Cross-Domain Epistemic Activities?
In: The Interdisciplinarity of the Learning Sciences: 14th International Conference of the Learning Sciences (ICLS) 2020: Conference Proceedings, S. 2399-2400,
International Society of the Learning Sciences, 14th International Conference of the Learning Sciences, Virtual Conference, 19.-23.06.2020, ISSN 1573-4552, ISBN 978-1-7324672-9-3,
[Konferenzveröffentlichung]

2019

Bauer, Elisabeth ; Sailer, Michael ; Kiesewetter, Jan ; Schulz, Claudia ; Pfeiffer, Jonas ; Gurevych, Iryna ; Fischer, Martin R. ; Fischer, Frank (2019):
Using ENA to Analyze Pre-service Teachers' Diagnostic Argumentations: A Conceptual Framework and Initial Applications.
In: Advances in Quantitative Ethnography, S. 14-25,
Springer, 1st International Conference on Quantitative Ethnography (ICQE 2019), Madison, USA, 20.-22.10., ISBN 9783030332310,
DOI: 10.1007/978-3-030-33232-7_2,
[Konferenzveröffentlichung]

Schulz, Claudia ; Meyer, Christian M. ; Gurevych, Iryna (2019):
Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning.
In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), S. 6974-6981,
Hawaii, USA, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), [Konferenzveröffentlichung]

Hanselowski, Andreas ; Stab, Christian ; Schulz, Claudia ; Li, Zile ; Gurevych, Iryna (2019):
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking.
S. 493-503, The 2019 SIGNLL Conference on Computational Natural Language Learning (CONLL 2019), Hong Kong, China, 03.11.2019-04.11.2019, [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 and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, S. 73-78,
The 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, Hong Kong, China, 03.11.2019-07.11.2019, [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.
S. 2761-2772, The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, 28.07.2019-02.08.2019, [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, S. 1634-1647,
Minneapolis, USA, The 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 02.06.2019--07.10.2019, [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,
[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, S. 364-365,
Amsterdam, Netherlands, 29.10.2018--01.11.2018, DOI: 10.1109/eScience.2018.00100,
[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.
Bridging the Gap between Formal Argumentation and Actual Human Reasoning, Bochum, 4.-5. Oktober 2018, [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, EMNLP 2018, Brussels, November 2 – November 4, 2018, [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, S. 35-41,
Association for Computational Linguistics, New Orleans, USA, [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), S. 543-544,
Basel, Switzerland, [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. [Artikel]

Diese Liste wurde am Wed Jul 13 03:08:33 2022 CEST generiert.

go to list