Dr.-Ing. Johannes Daxenberger

Postdoctoral researcher

Contact

work +49 6151 16-25281
fax +49 6151 16-25295

Work S2|02 A013
Hochschulstraße 10
64289 Darmstadt

I work in the EXIST startup project ArgumenText and previously was a postdoctoral researcher and coordinator of the technology validation project with the same name.

I hold an M.A. (Magister Artium) in Computational Linguistics, Spanish and General Linguistics from the Universität zu Köln. In October 2011, I was granted a 3-year PhD scholarship within the Hessian excellence program “Landes-Offensive zur Entwicklung Wissenschaftlich-ökonomischer Exzellenz” (LOEWE). In July 2015, I successfully defended my PhD thesis about Online Mass Collaboration in Wikipedia.

I last coordinated the technology validation project “ArgumenText”. Previously, I have been working within the CEDIFOR eHumanities Center, supporting and coordinating various projects within Digital Humanities. Until end of 2014, I was part of the LOEWE Research Center “Text as a Process”, with a focus on Wikipedia Revision History.

  • Machine Learning & Text Classification
  • Argumentation Mining
  • Digital Humanities
  • Online Mass Collaboration & Writing Processes

I am or have been reviewing for most major NLP conferences (ACL, NAACL, EMNLP, EACL, COLING, LREC), ML conferences (AAAI; IJCAI) and several Digital Humanities conferences (DH, DHd). I also review for the journal Transactions of the Association for Computational Linguistics (TACL).

I currently supervise or have supervised

  • Viswanathan Arunachalam (internship)
  • Mohammed Refat Chowdhury (MA thesis)
  • Nils Dycke (student helper)
  • Patrick Franz (student helper)
  • Patricia Heidt (MA thesis)
  • Zlatko Kolev (student helper)
  • Melvin Laux (student helper)
  • Lukas Lehmann (BA thesis)
  • Patrick Lerner (BA thesis)
  • Joy Mahapatra (internship)
  • Andriy Nadolskyy (student helper)
  • Dat Quoc Nguyen (internship)
  • Philipp Nothvogel (BA thesis, student helper)
  • Matthias Orlikowski (internship)
  • Krish Perumal (internship)
  • Veliyana Savova (student helper)
  • Kris Schilling (student helper)
  • Darjush Siahdohoni (BA thesis)
  • Saurabh Shekhar Verma (internship)
  • Manuel Spari (BA thesis)
  • Lasse Stelzer (BA thesis)
  • Nandan Thakur (internship)
  • Sophie Pozniak (student helper)
  • Hannah Wieland (tutor)
  • Daniel Wehner (MA thesis)
  • Ute Winchenbach (MA thesis)
  • Balaji Veradhan (MA thesis, external)
  • Liane Vogel (student helper)

I teach or have been teaching

  • Summer Term 2017: Natural Language Processing and eLearning (Lecture)
  • Summer Term 2015: Text Analytics (Regular Seminar)
Jump to: 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2014 | 2013 | 2012
Number of items: 38.

2021

Schiller, Benjamin and Daxenberger, Johannes and Gurevych, Iryna (2021):
Stance Detection Benchmark: How Robust Is Your Stance Detection?
In: KI - Künstliche Intelligenz, Springer, ISSN 0933-1875,
DOI: 10.1007/s13218-021-00714-w,
[Article]

Schiller, Benjamin and Daxenberger, Johannes and Gurevych, Iryna (2021):
Aspect-Controlled Neural Argument Generation.
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, virtual Conference, 06.-11.06.2021, [Conference or Workshop Item]

Thakur, Nandan and Reimers, Nils and Daxenberger, Johannes and Gurevych, Iryna (2021):
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks.
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, virtual Conference, 06.-11.06.2021, [Conference or Workshop Item]

2020

Daxenberger, Johannes and Gurevych, Iryna (2020):
Arguments as Social Good: Good Arguments in Times of Crisis.
AI for Social Good - AAAI Fall Symposium 2020, virtual Conference, 13.-14.11., [Conference or Workshop Item]

Eger, Steffen and Daxenberger, Johannes and Gurevych, Iryna (2020):
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation.
In: Proceedings of the 24th Conference on Computational Natural Language Learning, pp. 108-118,
ACL, 24th Conference on Computational Natural Language Learning (CoNLL 2020), virtual Conference, 19.-20.11., ISBN 978-1-952148-63-7,
[Conference or Workshop Item]

Daxenberger, Johannes and Schiller, Benjamin and Stahlhut, Chris and Kaiser, Erik and Gurevych, Iryna (2020):
ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario.
In: Datenbank-Spektrum, 20 (2), pp. 115-121. Springer, ISSN 1618-2162,
DOI: 10.1007/s13222-020-00347-7,
[Article]

Rach, Niklas and Matsuda, Yuki and Daxenberger, Johannes and Ultes, Stefan and Yasumoto, Keiichi and Minker, Wolfgang (2020):
Evaluation of Argument Search Approaches in the Context of Argumentative Dialogue Systems.
In: Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC), pp. 513-522,
European Language Resources Association, Marseille, France, May 11-16 , 2020, [Conference or Workshop Item]

Trautmann, Dietrich and Daxenberger, Johannes and Stab, Christian and Schütze, Hinrich and Gurevych, Iryna (2020):
Fine-Grained Argument Unit Recognition and Classification.
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, 07.-12.02., ISBN 978-1-57735-835-0,
DOI: 10.1609/aaai.v34i05.6438,
[Conference or Workshop Item]

Tauchmann, Christopher and Daxenberger, Johannes and Mieskes, Margot (2020):
The Influence of Input Data Complexity on Crowdsourcing Quality.
pp. 71-72, IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces Companion, Cagliari, Italy, March 17–20, 2020, ISBN 978-1-4503-7513-9,
DOI: 10.1145/3379336.3381499,
[Conference or Workshop Item]

2019

Reimers, Nils and Schiller, Benjamin and Beck, Tilman and Daxenberger, Johannes and Stab, Christian and Gurevych, Iryna (2019):
Classification and Clustering of Arguments with Contextualized Word Embeddings.
pp. 567-578, The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, 28.07.2019-02.08.2019, [Conference or Workshop Item]

Trautmann, Dietrich and Daxenberger, Johannes and Stab, Christian and Schütze, Hinrich and Gurevych, Iryna (2019):
Robust Argument Unit Recognition and Classification.
In: CoRR, abs/1904.09688, [Article]

Maurer, Marcus and Daxenberger, Johannes and Orlikowski, Matthias and Gurevych, Iryna Müller, Philipp and Geiß, Stefan and Schemer, Christian and Naab, Theresa K. and Peter, Christina (eds.) (2019):
Argument Mining: A new method for automated text analysis and its application in communication science.
In: Dynamische Prozesse in der Kommunikationswissenschaft: Methodische Herausforderungen, pp. 18-37, Hamburg, Germany, Werner Wirth GmbH, [Book Section]

2018

Daxenberger, Johannes and Ziegele, Marc and Gurevych, Iryna and Quiring, Oliver (2018):
Automatically Detecting Incivility in Online Discussions of News Media.
In: Proceedings of the 14th eScience IEEE International Conference, pp. 318-319,
The 14th eScience IEEE International Conference, Amsterdam, Netherlands, 29.10.2018--01.11.2018, [Conference or Workshop Item]

Stab, Christian and Daxenberger, Johannes and Stahlhut, Chris and Miller, Tristan and Schiller, Benjamin and Tauchmann, Christopher and Eger, Steffen and Gurevych, Iryna (2018):
ArgumenText: Searching for Arguments in Heterogeneous Sources.
In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: System Demonstrations, pp. 21-25,
The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, 01.06.2018--06.06.2018, [Conference or Workshop Item]

Eger, Steffen and Daxenberger, Johannes and Stab, Christian and Gurevych, Iryna (2018):
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!
In: Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), pp. 831-844,
The 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, USA, 20.08.2018--26.08.2018, [Conference or Workshop Item]

Schulz, Claudia and Eger, Steffen and Daxenberger, Johannes and Kahse, Tobias and 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, pp. 35-41,
Association for Computational Linguistics, New Orleans, USA, [Conference or Workshop Item]

Ziegele, Marc and Daxenberger, Johannes and Quiring, Oliver and Gurevych, Iryna (2018):
Developing Automated Measures to Predict Incivility in Public Online Discussions on the Facebook Sites of Established News Media.
In: Proceedings of the 68th Annual Conference of the International Communication Association (ICA),
Prague, Czech Republik, [Conference or Workshop Item]

Daxenberger, Johannes and Csanadi, Andras and Ghanem, Christian and Kollar, Ingo and Gurevych, Iryna Fischer, Frank and Chinn, Clark and Engelmann, Katharina and Osborne, Jonathan (eds.) (2018):
Domain-Specific Aspects of Scientific Reasoning and Argumentation: Insights from Automatic Coding.
In: Scientific Reasoning and Argumentation: The Roles of Domain-Specific and Domain-General Knowledge, pp. 34-55, Taylor & Francis, [Book Section]

2017

Daxenberger, Johannes and Eger, Steffen and Habernal, Ivan and Stab, Christian and Gurevych, Iryna (2017):
What is the Essence of a Claim? Cross-Domain Claim Identification.
In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 2055-2066,
Copenhagen, Denmark, [Conference or Workshop Item]

Maurer, Marcus and Daxenberger, Johannes and Gurevych, Iryna (2017):
Argumentation Mining: Eine neue Methode zur automatisierten Textanalyse und ihre Anwendung in der Kommunikationswissenschaft.
In: Jahrestagung der Fachgruppe Methoden der Publizistik- und Kommunikationswissenschaft der Deutschen Gesellschaft für Publizistik- und Kommunikationswissenschaft,
Mainz, Germany, [Conference or Workshop Item]

Lee, Ji-Ung and Eger, Steffen and Daxenberger, Johannes and Gurevych, Iryna (2017):
UKP TU-DA at GermEval 2017: Deep Learning for Aspect Based Sentiment Detection.
In: Proceedings of the GermEval 2017 – Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, pp. 22-29,
Berlin, Germany, [Conference or Workshop Item]

Sukhareva, Maria and Fuscagni, Francesco and Daxenberger, Johannes and Görke, Susanne and Prechel, Doris and Gurevych, Iryna (2017):
Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite.
In: LaTeCH-CLfL '17 Proceedings of the 11th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, pp. 95-104,
Vancouver, BC, Canada, [Conference or Workshop Item]

Eger, Steffen and Daxenberger, Johannes and Gurevych, Iryna (2017):
Neural End-to-End Learning for Computational Argumentation Mining.
Volume 1: Long Papers, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), pp. 11-22,
Association for Computational Linguistics, Vancouver, Canada, [Conference or Workshop Item]

Arnold, Thomas and Daxenberger, Johannes and Weihe, Karsten and Gurevych, Iryna (2017):
Is Interaction More Important Than Individual Performance? A Study of Motifs in Wikia.
In: WWW '17 Companion, In: Proceedings of the 26th International Conference Companion on World Wide Web, pp. 1609-1617,
International World Wide Web Conferences Steering Committee, Perth, Australia, [Conference or Workshop Item]

Daxenberger, Johannes and Görke, Susanne and Siahdohoni, Darjush and Gurevych, Iryna and Prechel, Doris (2017):
Semantische Suche in Ausgestorbenen Sprachen: Eine Fallstudie für das Hethitische.
In: DHd 2017 - Digitale Nachhaltigkeit: Konferenzabstracts, pp. 196-200,
Bern, Switzerland, [Conference or Workshop Item]

Arazy, Ofer and Lifshitz-Assaf, Hila and Nov, Oded and Daxenberger, Johannes and Balestra, Martina and Cheshire, Coye (2017):
On the "How" and "Why" of Emergent Role Behaviors in Wikipedia.
In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, pp. 2039-2051,
Portland, OR, USA, [Conference or Workshop Item]

2016

Arazy, Ofer and Daxenberger, Johannes and Lifshitz-Assaf, Hila and Nov, Oded and Gurevych, Iryna (2016):
Turbulent Stability of Emergent Roles: The Dualistic Nature of Self-Organizing Knowledge Co-Production.
In: Information Systems Research, 27 (4), pp. 792-812. [Article]

Csanadi, Andras and Daxenberger, Johannes and Ghanem, Christian and Kollar, Ingo and Fischer, Frank and Gurevych, Iryna (2016):
Automated Text Classification to Capture Scientific Reasoning and Argumentation Processes in Different Professional Problem Solving Contexts.
In: Extended Abstract presented at the Twenty-sixth Annual Meeting of the Society for Text & Discourse,
Twenty-sixth Annual Meeting of the Society for Text & Discourse, Kassel, Germany, [Conference or Workshop Item]

Lerner, Patrick and Csanadi, Andras and Daxenberger, Johannes and Flekova, Lucie and Ghanem, Christian and Kollar, Ingo and Fischer, Frank and Gurevych, Iryna Looi, C. K. and Polman, J. L. and Cress, U. and Reimann, P. (eds.) (2016):
A User Interface for the Exploration of Manually and Automatically Coded Scientific Reasoning and Argumentation.
In: Proceedings of the International Conference of the Learning Sciences (ICLS) 2016, pp. 938-941,
International Society of the Learning Sciences, Singapore, [Conference or Workshop Item]

Arazy, Ofer and Daxenberger, Johannes and Lifshitz-Assaf, Hila and Nov, Oded and Gurevych, Iryna (2016):
Emergent Roles in Self-Organizing Knowledge Co-Production: Turbulence and Stability.
2017 Collective Intelligence Conference, New York, NY, USA, [Conference or Workshop Item]

Habernal, Ivan and Daxenberger, Johannes and Gurevych, Iryna Cress, Ulrike and Moskaliuk, Johannes and Jeong, Heisawn (eds.) (2016):
Mass Collaboration on the Web: Textual Content Analysis by Means of Natural Language Processing.
In: Computer-Supported Collaborative Learning Series, 16, In: Mass Collaboration and Education, pp. 367-390, Springer International Publishing, ISBN 978-3-319-13535-9,
DOI: 10.1007/978-3-319-13536-6_18,
[Book Section]

Daxenberger, Johannes (2016):
The Writing Process in Online Mass Collaboration: NLP-Supported Approaches to Analyzing Collaborative Revision and User Interaction.
Darmstadt, Technische Universität,
[Ph.D. Thesis]

2014

Daxenberger, Johannes and Ferschke, Oliver and Gurevych, Iryna and Zesch, Torsten Toutanova, Kristina and Wu, Hua (eds.) (2014):
DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data.
In: Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 61-66,
Association for Computational Linguistics, Baltimore, MD, USA, [Conference or Workshop Item]

Daxenberger, Johannes and Gurevych, Iryna Toutanova, Kristina and Wu, Hua (eds.) (2014):
Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia.
In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 187-192,
Association for Computational Linguistics, Baltimore, MD, USA, [Conference or Workshop Item]

2013

Daxenberger, Johannes and Gurevych, Iryna Yarowsky, David and Baldwin, Timothy and Korhonen, Anna and Livescu, Karen and Bethard, Steven (eds.) (2013):
Automatically Classifying Edit Categories in Wikipedia Revisions.
In: Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), pp. 578-589,
Association for Computational Linguistics, Seattle, WA, USA, [Conference or Workshop Item]

Ferschke, Oliver and Daxenberger, Johannes and Gurevych, Iryna Gurevych, Iryna and Kim, Jungi (eds.) (2013):
A Survey of NLP Methods and Resources for Analyzing the Collaborative Writing Process in Wikipedia.
In: The People’s Web Meets NLP: Collaboratively Constructed Language Resources, pp. 121-160, Springer, [Book Section]

2012

Daxenberger, Johannes and Gurevych, Iryna (2012):
A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles.
In: Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), pp. 711-726,
Mumbai, India, [Conference or Workshop Item]

Daxenberger, Johannes and Ferschke, Oliver and Gurevych, Iryna (2012):
Wikipedia-based Corpora for Analyzing Revisions, Discussions and Text Quality in Collaborative Writing.
In: Proceedings of the NOSDAC Workshop,
Workshop on Non-standard Data Sources in Corpus-based Research, Cologne, Germany, [Conference or Workshop Item]

This list was generated on Fri Apr 16 04:43:24 2021 CEST.