Publications
Johannes Schäfer and Elina Kistner. 2023.
HS-EMO: Analyzing Emotions in Hate Speech.
In Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), pages 165–173, Ingolstadt, Germany. Association for Computational Lingustics.
[Paper] [Poster] [Data and Code]
Markus Bertram, Johannes Schäfer and Thomas Mandl. 2023.
Comparative Survey of German Hate Speech Datasets: Background, Characteristics and Biases.
In: Lernen, Wissen, Daten, Analysen Conference Proceedings (LWDA 2023), pp. 207-221, Marburg, Germany.
[Paper] [Slides] [Code]
Johannes Schäfer. 2023.
Hate Speech behandeln: Diagnosewerkzeuge aus der Computerlinguistik.
In: Jaki, Sylvia und Steiger, Stefan (Hrsg.), Digitale Hate Speech: Interdisziplinäre Perspektiven auf Erkennung, Beschreibung und Regulation. Springer Berlin Heidelberg. DOI: 10.1007/978-3-662-65964-9_5.
[Article] [Bibtex]
Johannes Schäfer. 2023.
Bias Mitigation for Capturing Potentially Illegal Hate Speech.
In: Datenbank-Spektrum. DOI: 10.1007/s13222-023-00439-0.
[Article] [Bibtex]
Lukas Sontheimer, Johannes Schäfer, Thomas Mandl. 2022.
Enabling Informational Autonomy through Explanation of Content Moderation: UI Design for Hate Speech Detection.
In: Marky, K., Grünefeld, U. & Kosch, T. (Hrsg.), Mensch und Computer 2022 - Workshopband. Bonn: Gesellschaft für Informatik e.V. DOI: 10.18420/muc2022-mci-ws12-260.
[Paper]
Thomas Mandl, Sandip Modha, Gautam Kishore Shahi, Hiren Madhu, Shrey Satapara, Prasenjit Majumder, Johannes Schäfer, Tharindu Ranasinghe, Marcos Zampieri, Durgesh Nandini, Amit Kumar Jaiswal. 2021.
Overview of the HASOC Subtrack at FIRE 2021: HateSpeech and Offensive Content Identification in English and Indo-Aryan Languages.
In Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, December 13-17, 2021, India.
[Paper]
Johannes Schäfer and Kübra Boguslu. 2021.
Illegale Hassrede: Ein Datensatz für die automatische Erkennung.
Vortrag bei der Tagung "KI gegen Online-Hass II", 12. November 2021, Universität Hildesheim.
[Slides]
Johannes Schäfer and Kübra Boguslu. 2021.
Towards annotating illegal hate speech: A computational linguistic approach.
In Detect Then Act (DTCT) Technical Report 3. ISSN 2736-6391.
[Website] [Report] [Bibtex]
Thomas Mandl, Sylvia Jaki, Daphné Çetta, Ulrich Heid, Wolf J. Schünemann, Stefan Steiger and Johannes Schäfer. 2021.
Interdisziplinäre Perspektiven auf Hate Speech und ihre Erkennung (IPHSE).
In Information - Wissenschaft & Praxis 72, no. 4 (2021): 221-223.
[Paper]
Ekaterina Lapshinova-Koltunski, Fritz Kliche, Anna Moskvina and Johannes Schäfer. 2021.
Polarity in Translation: Differences between Novice and Experts across Registers.
In Proceedings for the First Workshop on Modelling Translation: Translatology in the Digital Age, pp. 66-73.
[Paper] [Bibtex]
Thomas Mandl, Sandip Modha, Gautam Kishore Shahi, Amit Kumar Jaiswal, Durgesh Nandini, Daksh Patel, Prasenjit Majumder and Johannes Schäfer. 2020.
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages.
In Proceedings of the Forum for Information Retrieval Evaluation (FIRE 2020), December 16–20, 2020, Hyderabad, India.
[Paper]
Laura Giacomini and Johannes Schäfer. 2020.
Computational Aspects of Frame-Based Meaning Representation in Terminology.
In Proceedings of the 6th International Workshop on Computational Terminology (Computerm 2020), pp. 80-84, Marseille, France.
[Paper] [Bibtex]
Linda Achilles, Max Kisselew, Johannes Schäfer and Ralph Koelle. 2020.
Using Surface and Semantic Features for Detecting Early Signs of Self-Harm in Social Media Postings.
In Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, September 22-25, 2020.
[Paper] [Bibtex]
Johannes Schäfer, Tom De Smedt and Sylvia Jaki. 2019.
HAU at the GermEval 2019 Shared Task on the Identification of Offensive Language in Microposts: System Description of Word List, Statistical and Hybrid Approaches.
In Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), pages 391-397, Erlangen, Germany.
[Paper] [Bibtex] [Slides]
Johannes Schäfer and Ben Burtenshaw. 2019.
Offence in Dialogues: A Corpus-Based Study.
In Proceedings of the International Conference Recent Advances in Natural Language Processing (RANLP 2019): Natural Language Processing in a Deep Learning World, pages 1085-1093, Varna, Bulgaria, September 2-4, 2019.
[Paper] [Bibtex] [Poster] [Code]
Johannes Schäfer. 2019.
Neural networks at hate speech and offensive language detection with a focus on linguistic features.
Talk at the 7th. Göttingen/Hildesheim-Workshop on Computational Linguistics and Digital Humanities, Topic: "Digital Methods in Political Science". Göttingen, Germany. February 27-28, 2019.
[Abstract] [Slides]
Johannes Schäfer. 2018.
Wenn selbst Neuronale Netzwerke beleidigt sind.
Talk at the Workshop "Politikforschung mit digitalen Kommunikationsdaten", Eröffnung des Zentrums für Digitalen Wandel, Universität Hildesheim. November 23, 2018.
[Slides]
Johannes Schäfer. 2018
HIIwiStJS at GermEval-2018: Integrating Linguistic Features in a Neural Network for the Identification of Offensive Language in Microposts.
In Proceedings of the Workshop Germeval 2018 - Shared Task on the Identification of Offensive Language. Vienna, Austria. September 21, 2018.
[Paper]
Tim van Niekerk, Johannes Schäfer and Ulrich Heid. 2018.
Semi-automating the Reading Programme for a Historical Dictionary Project.
In Lexikos 28 (AFRILEX-reeks/series 28: 2018): 343-360.
[Article]
Tim van Niekerk, Johannes Schäfer, Heike Stadler and Ulrich Heid. 2018.
Semi-automating the Reading Programme for a Historical Dictionary Project.
In The XVIII EURALEX International Congress, Lexicography in Global Contexts, Book of Abstracts, 17-21 July 2018, Ljubeljana: 81-83.
[Abstract]
Ina Rösiger, Julia Bettinger, Johannes Schäfer, Michael Dorna and Ulrich Heid. 2016.
Acquisition of semantic relations between terms: how far can we get with standard NLP tools?
In Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016), pages 41-51. Osaka, Japan, December 12 2016.
[Paper] [Slides]
Johannes Schäfer, Ina Rösiger, Ulrich Heid and Michael Dorna. 2015.
Evaluating noise reduction strategies for terminology extraction.
In Proceedings of the 11th International Conference on Terminology and Artificial Intelligence (TIA 2015), pages 123-131. Granada, Spain, November 2015.
[Paper] [Bibtex] [Slides]
Ina Rösiger, Johannes Schäfer, Tanja George, Simon Tannert, Ulrich Heid and Michael Dorna. 2015.
Extracting terms and their relations from German texts: NLP tools for the preparation of raw material for e-dictionaries.
In Electronic lexicography in the 21st century: linking lexical data in the digital age, Proceedings of the eLex 2015 conference, pages 486-503. 11-13 August 2015, Herstmonceux Castle, United Kingdom.
[Paper] [Slides]
Tanja George, Johannes Schäfer, Ina Rösiger, Ulrich Heid and Michael Dorna. 2015.
Evaluating monolingual term extraction from German texts.
Poster at the CL-Postersession, DGfS-2015. Leipzig, Germany 2015.
[Poster] [Abstract]
Graduate Theses
Johannes Schäfer. 2017.
Probabilistic Extraction of Do-It-Yourself Activities as n-ary Relations from Domain-specific Texts.
Master's thesis, ms. Institute for Natural Language Processing (IMS), University of Stuttgart, Germany, in cooperation with the Robert Bosch GmbH, Renningen, Germany.
Johannes Schäfer. 2015.
Statistical and parsing-based approaches to the extraction of multi-word terms from texts: implementation and comparative evaluation
Bachelor's thesis, ms. Institute for Natural Language Processing (IMS), University of Stuttgart, Germany.