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 (DHd, 2014)

Post-Democracy and Neoliberalism. - Matthias Lemke; Gregor Wiedemann (DHd, 2014)

Creating dictionaries for argument identification by reference data. - Andreas Niekler; Gregor Wiedemann; Sebastian Dumm; Gerhard Heyer (DHd, 2014)

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)

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; et al. (DHd, 2016)

Fachwissenschaftliche Nutzungsszenarien der CLARIN-D Infrastruktur. - Gregor Wiedemann; Thomas Gloning; Andreas Blätte; Maret Keller; Susanne Haaf; Kay-Michael Würzner (DHd, 2016)

Integrating text mining into qualitative data analysis for social sciences. - Gregor Wiedemann (2016)

Hands-On: A Five Day Text Mining Course for Humanists and Social Scientists in R. - Gregor Wiedemann; Andreas Niekler (Teach4DH@GSCL, 2017)

Modeling the dynamics of domain specific terminology in diachronic corpora. - Gerhard Heyer; Cathleen Kantner; Andreas Niekler; Max Overbeck; Gregor Wiedemann (CoRR, 2017)

Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis. - Andreas Niekler; Gregor Wiedemann; Gerhard Heyer (CoRR, 2017)

Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries. - Gregor Wiedemann; Andreas Niekler (CoRR, 2017)

A Multilingual Information Extraction Pipeline for Investigative Journalism. - Gregor Wiedemann; Seid Muhie Yimam; Chris Biemann (EMNLP (Demonstration), 2018)

microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF. - Gregor Wiedemann; Raghav Jindal; Chris Biemann (KONVENS, 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 (LREC, 2018)

Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features. - Gregor Wiedemann; Gerhard Heyer (LREC, 2018)

New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism. - Gregor Wiedemann; Seid Muhie Yimam; Chris Biemann (SocInfo (2), 2018)

Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter. - Gregor Wiedemann; Eugen Ruppert; Raghav Jindal; Chris Biemann (CoRR, 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)

Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records. - Max Friedrich; Arne Köhn; Gregor Wiedemann; Chris Biemann (ACL (1), 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 (CogSci, 2019)

Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings. - Gregor Wiedemann; Steffen Remus; Avi Chawla; Chris Biemann (KONVENS, 2019)

UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection. - Gregor Wiedemann; Eugen Ruppert; Chris Biemann (SemEval@NAACL-HLT, 2019)

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 (SemEval@COLING, 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)

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)

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 (EACL (System Demonstrations), 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 (EMNLP (1), 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)

Multi-modal page stream segmentation with convolutional neural networks. - Gregor Wiedemann; Gerhard Heyer (Lang. Resour. Evaluation, 2021)

Same Side Stance Classification Adversarial Test Cases. - Ahmad Dawar Hakimi; Erik Körner; Gregor Wiedemann; Gerhard Heyer; Martin Potthast (Zenodo, 2021)

Same Side Stance Classification Resampled Datasets. - Gregor Wiedemann; Erik Körner; Ahmad Dawar Hakimi; Gerhard Heyer; Martin Potthast (Zenodo, 2021)

Boundary Detection and Categorization of Argument Aspects via Supervised Learning. - Mattes Ruckdeschel; Gregor Wiedemann (ArgMining@COLING, 2022)

More Like This: Semantic Retrieval with Linguistic Information. - Steffen Remus; Gregor Wiedemann; Saba Anwar; Fynn Petersen-Frey; Seid Muhie Yimam; Chris Biemann (KONVENS, 2022)

Few-Shot Learning for Argument Aspects of the Nuclear Energy Debate. - Lena Jurkschat; Gregor Wiedemann; Maximilian Heinrich; Mattes Ruckdeschel; Sunna Torge 001 (LREC, 2022)

A Generalized Approach to Protest Event Detection in German Local News. - Gregor Wiedemann; Jan Matti Dollbaum; Sebastian Haunss; Priska Daphi; Larissa Daria Meier (LREC, 2022)

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)

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 (EMNLP, 2024)

Argument Mining of Attack and Support Patterns in Dialogical Conversations with Sequential Pattern Mining. - Mattes Ruckdeschel; Ringo Baumann; Gregor Wiedemann (RATIO, 2024)

PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning. - Jonas Rieger; Mattes Ruckdeschel; Gregor Wiedemann (CoRR, 2024)