Gregor Wiedemann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2018–2024
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | EMNLP | Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates. | Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Ptz, Gregor Wiedemann, Steffen Eger |
| 2022 | LREC | Few-Shot Learning for Argument Aspects of the Nuclear Energy Debate. | Lena Jurkschat, Gregor Wiedemann, Maximilian Heinrich, Mattes Ruckdeschel, Sunna Torge |
| 2022 | LREC | A Generalized Approach to Protest Event Detection in German Local News. | Gregor Wiedemann, Jan Matti Dollbaum, Sebastian Haunss, Priska Daphi, Larissa Daria Meier |
| 2021 | EACL | Forum 4.0: An Open-Source User Comment Analysis Framework. | Marlo Haering, Jakob Smedegaard Andersen, Chris Biemann, Wiebke Loosen, Benjamin Milde, Tim Pietz, Christian Stcker, Gregor Wiedemann, Olaf Zukunft, Walid Maalej |
| 2021 | EMNLP | On Classifying whether Two Texts are on the Same Side of an Argument. | Erik Krner, Gregor Wiedemann, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast |
| 2019 | ACL | Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records. | Max Friedrich, Arne Khn, Gregor Wiedemann, Chris Biemann |
| 2019 | CogSci | Bayesian Pragmatics Provides the Best Quantitative Model of Context Effects on Word Meaning in EEG and Cloze Data. | Markus Werning, Matthias Unterhuber, Gregor Wiedemann |
| 2018 | EMNLP | A Multilingual Information Extraction Pipeline for Investigative Journalism. | Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann |
| 2018 | LREC | 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 |
| 2018 | LREC | Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features. | Gregor Wiedemann, Gerhard Heyer |