Gregor Wiedemann

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 37

Top Venues

Leipzig University, Germany (PHD)

Education History

Leipzig University, Germany

PHD

Publications

Mattes Ruckdeschel, Ringo Baumann, Gregor Wiedemann
Argument Mining of Attack and Support Patterns in Dialogical Conversations with Sequential Pattern Mining. RATIO (2024)
Jonas Rieger, Kostiantyn Yanchenko, Mattes Ruckdeschel, Gerret von Nordheim, Katharina Kleinen-von Königslöw, Gregor Wiedemann
Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine. CoRR (2023)
Steffen Remus, Gregor Wiedemann, Saba Anwar, Fynn Petersen-Frey, Seid Muhie Yimam, Chris Biemann
More Like This: Semantic Retrieval with Linguistic Information. KONVENS (2022)
Lena Jurkschat, Gregor Wiedemann, Maximilian Heinrich, Mattes Ruckdeschel, Sunna Torge
Few-Shot Learning for Argument Aspects of the Nuclear Energy Debate. LREC (2022)
Gregor Wiedemann, Jan Matti Dollbaum, Sebastian Haunss, Priska Daphi, Larissa Daria Meier
A Generalized Approach to Protest Event Detection in German Local News. LREC (2022)
Mattes Ruckdeschel, Gregor Wiedemann
Boundary Detection and Categorization of Argument Aspects via Supervised Learning. ArgMining@COLING (2022)
Gregor Wiedemann, Gerhard Heyer
Multi-modal page stream segmentation with convolutional neural networks. Lang. Resour. Evaluation 55 (1) (2021)
Christian Kahmann, Andreas Niekler, Gregor Wiedemann
Application of the interactive Leipzig Corpus Miner as a generic research platform for the use in the social sciences. CoRR (2021)
Marlo Haering, Jakob Smedegaard Andersen, Chris Biemann, Wiebke Loosen, Benjamin Milde, Tim Pietz, Christian Stöcker, Gregor Wiedemann, Olaf Zukunft, Walid Maalej
Forum 4.0: An Open-Source User Comment Analysis Framework. EACL (System Demonstrations) (2021)
Erik Körner, Gregor Wiedemann, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast
On Classifying whether Two Texts are on the Same Side of an Argument. EMNLP (1) (2021)
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
UHH-LT & LT2 at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection. CoRR (2020)
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection. SemEval@COLING (2020)
Ringo Baumann, Gregor Wiedemann, Maximilian Heinrich, Ahmad Dawar Hakimi, Gerhard Heyer
The Road Map to FAME: A Framework for Mining and Formal Evaluation of Arguments. Datenbank-Spektrum 20 (2) (2020)
Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records. CoRR (2019)
Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records. ACL (1) (2019)
Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings. CoRR (2019)
Gregor Wiedemann, Eugen Ruppert, Chris Biemann
UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection. SemEval@NAACL-HLT (2019)
Markus Werning, Matthias Unterhuber, Gregor Wiedemann
Bayesian Pragmatics Provides the Best Quantitative Model of Context Effects on Word Meaning in EEG and Cloze Data. CogSci (2019)
Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings. KONVENS (2019)
Gregor Wiedemann, Gerhard Heyer
Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features. LREC (2018)
Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann, Kenan Erdogan, Gerhard Heyer, Markus Strohmaier
ILCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data. LREC (2018)
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism. CoRR (2018)
Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann, Kenan Erdogan, Gerhard Heyer, Markus Strohmaier
iLCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data. CoRR (2018)
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
A Multilingual Information Extraction Pipeline for Investigative Journalism. EMNLP (Demonstration) (2018)
Gregor Wiedemann, Raghav Jindal, Chris Biemann
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF. KONVENS (2018)
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
A Multilingual Information Extraction Pipeline for Investigative Journalism. CoRR (2018)
Gregor Wiedemann, Raghav Jindal, Chris Biemann
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF. CoRR (2018)
Sabine Gründer-Fahrer, Antje Schlaf, Gregor Wiedemann, Gerhard Heyer
Topics and topical phases in German social media communication during a disaster. Nat. Lang. Eng. 24 (2) (2018)
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism. SocInfo (2) (2018)
Gregor Wiedemann, Eugen Ruppert, Raghav Jindal, Chris Biemann
Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter. CoRR (2018)
Andreas Niekler, Gregor Wiedemann, Gerhard Heyer
Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis. CoRR (2017)
Gregor Wiedemann, Gerhard Heyer
Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features. CoRR (2017)
Gregor Wiedemann, Andreas Niekler
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries. CoRR (2017)
Gerhard Heyer, Cathleen Kantner, Andreas Niekler, Max Overbeck, Gregor Wiedemann
Modeling the dynamics of domain specific terminology in diachronic corpora. CoRR (2017)
Gregor Wiedemann, Andreas Niekler
Hands-On: A Five Day Text Mining Course for Humanists and Social Scientists in R. Teach4DH@GSCL (2017)
Gregor Wiedemann, Thomas Gloning, Andreas Blätte, Maret Keller, Susanne Haaf, Kay-Michael Würzner
Fachwissenschaftliche Nutzungsszenarien der CLARIN-D Infrastruktur. DHd (2016)
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
Argumentanalyse in digitalen Textkorpora. DHd (2016)
Matthias Lemke, Andreas Niekler, Gary S. Schaal, Gregor Wiedemann
Content Analysis between Quality and Quantity - Fulfilling Blended-Reading Requirements for the Social Sciences with a Scalable Text Mining Infrastructure. Datenbank-Spektrum 15 (1) (2015)
Andreas Niekler, Gregor Wiedemann, Sebastian Dumm, Gerhard Heyer
Creating dictionaries for argument identification by reference data. DHd (2014)
Gerhard Heyer, Andreas Niekler, Gregor Wiedemann
Brauchen die Digital Humanities eine eigene Methodologie? Überlegungen zur systematischen Nutzung von Text Mining Verfahren in einem politikwissenschaftlichen Projekt. DHd (2014)
Matthias Lemke, Gregor Wiedemann
Post-Democracy and Neoliberalism. DHd (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gregor Wiedemann