Gregor Wiedemann

According to our database, Gregor Wiedemann authored at least 39 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning.

Jonas Rieger, Mattes Ruckdeschel, Gregor Wiedemann

CoRR, 2024

Argument Mining of Attack and Support Patterns in Dialogical Conversations with Sequential Pattern Mining.

Mattes Ruckdeschel, Ringo Baumann, Gregor Wiedemann

Proceedings of the Robust Argumentation Machines - First International Conference, 2024

Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates.

Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, Steffen Eger

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine.

Jonas Rieger, Kostiantyn Yanchenko, Mattes Ruckdeschel, Gerret von Nordheim, Katharina Kleinen-von Königslöw, Gregor Wiedemann

CoRR, 2023

2022

A Generalized Approach to Protest Event Detection in German Local News.

Gregor Wiedemann, Jan Matti Dollbaum, Sebastian Haunss, Priska Daphi, Larissa Daria Meier

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Few-Shot Learning for Argument Aspects of the Nuclear Energy Debate.

Lena Jurkschat, Gregor Wiedemann, Maximilian Heinrich, Mattes Ruckdeschel, Sunna Torge

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

More Like This: Semantic Retrieval with Linguistic Information.

Steffen Remus, Gregor Wiedemann, Saba Anwar, Fynn Petersen-Frey, Seid Muhie Yimam, Chris Biemann

Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), 2022

Boundary Detection and Categorization of Argument Aspects via Supervised Learning.

Mattes Ruckdeschel, Gregor Wiedemann

Proceedings of the 9th Workshop on Argument Mining, 2022

2021

Same Side Stance Classification Resampled Datasets.

Gregor Wiedemann, Erik Körner, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast

Dataset, September, 2021

Same Side Stance Classification Adversarial Test Cases.

Ahmad Dawar Hakimi, Erik Körner, Gregor Wiedemann, Gerhard Heyer, Martin Potthast

Dataset, September, 2021

Multi-modal page stream segmentation with convolutional neural networks.

Gregor Wiedemann, Gerhard Heyer

Lang. Resour. Evaluation, 2021

Application of the interactive Leipzig Corpus Miner as a generic research platform for the use in the social sciences.

Christian Kahmann, Andreas Niekler, Gregor Wiedemann

CoRR, 2021

On Classifying whether Two Texts are on the Same Side of an Argument.

Erik Körner, Gregor Wiedemann, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Forum 4.0: An Open-Source User Comment Analysis Framework.

Marlo Haering, Jakob Smedegaard Andersen, Chris Biemann, Wiebke Loosen, Benjamin Milde, Tim Pietz, Christian Stöcker, Gregor Wiedemann, Olaf Zukunft, Walid Maalej

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

2020

The Road Map to FAME: A Framework for Mining and Formal Evaluation of Arguments.

Ringo Baumann, Gregor Wiedemann, Maximilian Heinrich, Ahmad Dawar Hakimi, Gerhard Heyer

Datenbank-Spektrum, 2020

UHH-LT & LT2 at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection.

Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann

CoRR, 2020

UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection.

Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2019

UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection.

Gregor Wiedemann, Eugen Ruppert, Chris Biemann

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings.

Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann

Proceedings of the 15th Conference on Natural Language Processing, 2019

Bayesian Pragmatics Provides the Best Quantitative Model of Context Effects on Word Meaning in EEG and Cloze Data.

Markus Werning, Matthias Unterhuber, Gregor Wiedemann

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records.

Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Topics and topical phases in German social media communication during a disaster.

Sabine Gründer-Fahrer, Antje Schlaf, Gregor Wiedemann, Gerhard Heyer

Nat. Lang. Eng., 2018

Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter.

Gregor Wiedemann, Eugen Ruppert, Raghav Jindal, Chris Biemann

CoRR, 2018

New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism.

Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann

Proceedings of the Social Informatics, 2018

Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features.

Gregor Wiedemann, Gerhard Heyer

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

ILCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data.

Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann, Kenan Erdogan, Gerhard Heyer, Markus Strohmaier

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF.

Gregor Wiedemann, Raghav Jindal, Chris Biemann

Proceedings of the 14th Conference on Natural Language Processing, 2018

A Multilingual Information Extraction Pipeline for Investigative Journalism.

Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

2017

Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries.

Gregor Wiedemann, Andreas Niekler

CoRR, 2017

Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis.

Andreas Niekler, Gregor Wiedemann, Gerhard Heyer

CoRR, 2017

Modeling the dynamics of domain specific terminology in diachronic corpora.

Gerhard Heyer, Cathleen Kantner, Andreas Niekler, Max Overbeck, Gregor Wiedemann

CoRR, 2017

Hands-On: A Five Day Text Mining Course for Humanists and Social Scientists in R.

Gregor Wiedemann, Andreas Niekler

Proceedings of the Workshop on Teaching NLP for Digital Humanities (Teach4DH) 2017, 2017

2016

Integrating text mining into qualitative data analysis for social sciences.

Gregor Wiedemann

PhD thesis, 2016

Fachwissenschaftliche Nutzungsszenarien der CLARIN-D Infrastruktur.

Gregor Wiedemann, Thomas Gloning, Andreas Blätte, Maret Keller, Susanne Haaf, Kay-Michael Würzner

Proceedings of the 3. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2016

Argumentanalyse in digitalen Textkorpora.

Miriam Butt, Gerhard Heyer, Katharina Holzinger, Cathleen Kantner, Daniel A. Keim, Jonas Kuhn, Gary S. Schaal, André Blessing, Sebastian Dumm, Mennatallah El-Assady, Valentin Gold, Annette Hautli-Janisz, Matthias Lemke, Maike Müller, Andreas Niekler, Maximilian Overbeck, Gregor Wiedemann

Proceedings of the 3. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2016

2015

Content Analysis between Quality and Quantity - Fulfilling Blended-Reading Requirements for the Social Sciences with a Scalable Text Mining Infrastructure.

Matthias Lemke, Andreas Niekler, Gary S. Schaal, Gregor Wiedemann

Datenbank-Spektrum, 2015

2014

Creating dictionaries for argument identification by reference data.

Andreas Niekler, Gregor Wiedemann, Sebastian Dumm, Gerhard Heyer

Proceedings of the 1. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2014

Post-Democracy and Neoliberalism.

Matthias Lemke, Gregor Wiedemann

Proceedings of the 1. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2014

Brauchen die Digital Humanities eine eigene Methodologie? Überlegungen zur systematischen Nutzung von Text Mining Verfahren in einem politikwissenschaftlichen Projekt.

Gerhard Heyer, Andreas Niekler, Gregor Wiedemann

Proceedings of the 1. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2014