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Gregor Wiedemann
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2020 – today
- 2024
- [c24]Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, Steffen Eger:
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates. EMNLP 2024: 5884-5907 - [c23]Mattes Ruckdeschel, Ringo Baumann, Gregor Wiedemann:
Argument Mining of Attack and Support Patterns in Dialogical Conversations with Sequential Pattern Mining. RATIO 2024: 39-56 - 2023
- [i14]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 abs/2312.16975 (2023) - 2022
- [c22]Mattes Ruckdeschel, Gregor Wiedemann:
Boundary Detection and Categorization of Argument Aspects via Supervised Learning. ArgMining@COLING 2022: 126-136 - [c21]Steffen Remus, Gregor Wiedemann, Saba Anwar, Fynn Petersen-Frey, Seid Muhie Yimam, Chris Biemann:
More Like This: Semantic Retrieval with Linguistic Information. KONVENS 2022: 156-166 - [c20]Lena Jurkschat, Gregor Wiedemann, Maximilian Heinrich, Mattes Ruckdeschel, Sunna Torge:
Few-Shot Learning for Argument Aspects of the Nuclear Energy Debate. LREC 2022: 663-672 - [c19]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: 3883-3891 - 2021
- [j4]Gregor Wiedemann, Gerhard Heyer:
Multi-modal page stream segmentation with convolutional neural networks. Lang. Resour. Evaluation 55(1): 127-150 (2021) - [c18]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: 63-70 - [c17]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: 10130-10138 - [d2]Ahmad Dawar Hakimi, Erik Körner, Gregor Wiedemann, Gerhard Heyer, Martin Potthast:
Same Side Stance Classification Adversarial Test Cases. Zenodo, 2021 - [d1]Gregor Wiedemann, Erik Körner, Ahmad Dawar Hakimi, Gerhard Heyer, Martin Potthast:
Same Side Stance Classification Resampled Datasets. Zenodo, 2021 - [i13]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 abs/2110.02708 (2021) - 2020
- [j3]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): 107-113 (2020) - [c16]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: 1638-1644 - [i12]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 abs/2004.11493 (2020)
2010 – 2019
- 2019
- [c15]Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann:
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records. ACL (1) 2019: 5829-5839 - [c14]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: 3085-3091 - [c13]Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann:
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings. KONVENS 2019 - [c12]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: 782-787 - [i11]Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann:
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records. CoRR abs/1906.05000 (2019) - [i10]Gregor Wiedemann, Steffen Remus, Avi Chawla, Chris Biemann:
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings. CoRR abs/1909.10430 (2019) - 2018
- [j2]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): 221-264 (2018) - [c11]Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
A Multilingual Information Extraction Pipeline for Investigative Journalism. EMNLP (Demonstration) 2018: 78-83 - [c10]Gregor Wiedemann, Raghav Jindal, Chris Biemann:
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF. KONVENS 2018: 165-171 - [c9]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 - [c8]Gregor Wiedemann, Gerhard Heyer:
Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features. LREC 2018 - [c7]Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism. SocInfo (2) 2018: 313-322 - [i9]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 abs/1805.11404 (2018) - [i8]Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism. CoRR abs/1807.05151 (2018) - [i7]Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
A Multilingual Information Extraction Pipeline for Investigative Journalism. CoRR abs/1809.00221 (2018) - [i6]Gregor Wiedemann, Raghav Jindal, Chris Biemann:
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF. CoRR abs/1811.02902 (2018) - [i5]Gregor Wiedemann, Eugen Ruppert, Raghav Jindal, Chris Biemann:
Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter. CoRR abs/1811.02906 (2018) - 2017
- [c6]Gregor Wiedemann, Andreas Niekler:
Hands-On: A Five Day Text Mining Course for Humanists and Social Scientists in R. Teach4DH@GSCL 2017: 57-65 - [i4]Gregor Wiedemann, Andreas Niekler:
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries. CoRR abs/1707.03217 (2017) - [i3]Andreas Niekler, Gregor Wiedemann, Gerhard Heyer:
Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis. CoRR abs/1707.03253 (2017) - [i2]Gerhard Heyer, Cathleen Kantner, Andreas Niekler, Max Overbeck, Gregor Wiedemann:
Modeling the dynamics of domain specific terminology in diachronic corpora. CoRR abs/1707.03255 (2017) - [i1]Gregor Wiedemann, Gerhard Heyer:
Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features. CoRR abs/1710.03006 (2017) - 2016
- [b1]Gregor Wiedemann:
Integrating text mining into qualitative data analysis for social sciences. Leipzig University, Germany, 2016 - [c5]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 - [c4]Gregor Wiedemann, Thomas Gloning, Andreas Blätte, Maret Keller, Susanne Haaf, Kay-Michael Würzner:
Fachwissenschaftliche Nutzungsszenarien der CLARIN-D Infrastruktur. DHd 2016 - 2015
- [j1]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): 7-14 (2015) - 2014
- [c3]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 - [c2]Matthias Lemke, Gregor Wiedemann:
Post-Democracy and Neoliberalism. DHd 2014 - [c1]Andreas Niekler, Gregor Wiedemann, Sebastian Dumm, Gerhard Heyer:
Creating dictionaries for argument identification by reference data. DHd 2014
Coauthor Index
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last updated on 2024-12-10 21:45 CET by the dblp team
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