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Venues (Conferences, Journals, ...)
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Results
Found 30 publication records. Showing 30 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Sebastian Möller 0001, Salar Mohtaj, Babak Naderi (eds.) |
Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text, GermEval@KONVENS 2022, Potsdam, Germany, September 12, 2022. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
|
1 | Leander Girrbach |
Text Complexity DE Challenge 2022 Submission Description: Pairwise Regression for Complexity Prediction. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
|
1 | Hadi Asghari, Freya Hewett |
HIIG at GermEval 2022: Best of Both Worlds Ensemble for Automatic Text Complexity Assessment. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
|
1 | Salar Mohtaj, Babak Naderi, Sebastian Möller 0001 |
Overview of the GermEval 2022 Shared Task on Text Complexity Assessment of German Text. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
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1 | Juraj Vladika, Stephen Meisenbacher, Florian Matthes |
TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
|
1 | Patrick Gustav Blaneck, Tobias Bornheim, Niklas Grieger, Stephan Bialonski |
Automatic Readability Assessment of German Sentences with Transformer Ensembles. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
|
1 | Miriam Anschütz, Georg Groh |
TUM Social Computing at GermEval 2022: Towards the Significance of Text Statistics and Neural Embeddings in Text Complexity Prediction. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
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1 | Bogdan Kostic, Mathis Lucka, Julian Risch |
Pseudo-Labels Are All You Need. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
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1 | Alejandro Mosquera |
Tackling Data Drift with Adversarial Validation: An Application for German Text Complexity Estimation. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
|
1 | Ulf A. Hamster |
Everybody likes short sentences - A Data Analysis for the Text Complexity DE Challenge 2022. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
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1 | |
Frontmatter. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
|
1 | David Arps, Jan Kels, Florian Krämer, Yunus Renz, Regina Stodden, Wiebke Petersen |
HHUplexity at Text Complexity DE Challenge 2022. |
GermEval@KONVENS |
2022 |
DBLP BibTeX RDF |
|
1 | Fabian Haak, Björn Engelmann 0002 |
IRCologne at GermEval 2021: Toxicity Classification. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
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1 | Kinga Gémes, Gábor Recski |
TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
|
1 | |
Frontmatter. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
|
1 | Christian Gawron, Sebastian Schmidt |
FH-SWF SG at GermEval 2021: Using Transformer-Based Language Models to Identify Toxic, Engaging, & Fact-Claiming Comments. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
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1 | T. H. Arjun, Arvindh A., Ponnurangam Kumaraguru |
Precog-LTRC-IIITH at GermEval 2021: Ensembling Pre-Trained Language Models with Feature Engineering. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
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1 | Kwabena Odame Akomeah, Udo Kruschwitz, Bernd Ludwig |
UR@NLP_A_Team @ GermEval 2021: Ensemble-based Classification of Toxic, Engaging and Fact-Claiming Comments. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
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1 | Jaqueline Böck, Daria Liakhovets, Mina Schütz, Armin Kirchknopf, Djordje Slijepcevic, Matthias Zeppelzauer, Alexander Schindler |
AIT_FHSTP at GermEval 2021: Automatic Fact Claiming Detection with Multilingual Transformer Models. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
|
1 | Skye Morgan, Tharindu Ranasinghe, Marcos Zampieri |
WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
|
1 | Tobias Bornheim, Niklas Grieger, Stephan Bialonski |
FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
|
1 | Niclas Hildebrandt, Benedikt T. Boenninghoff, Dennis Orth, Christopher Schymura |
Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the Oven. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
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1 | Mina Schütz, Christoph Demus, Jonas Pitz, Nadine Probol, Melanie Siegel, Dirk Labudde |
DeTox at GermEval 2021: Toxic Comment Classification. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
|
1 | Subhadarshi Panda, Sarah Ita Levitan |
HunterSpeechLab at GermEval 2021: Does Your Comment Claim A Fact? Contextualized Embeddings for German Fact-Claiming Comment Classification. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
|
1 | Julian Risch, Anke Stoll, Lena Wilms, Michael Wiegand |
Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
|
1 | Robin Schaefer, Manfred Stede |
UPAppliedCL at GermEval 2021: Identifying Fact-Claiming and Engaging Facebook Comments Using Transformers. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
|
1 | Maximilian Schmidhuber |
Universität Regensburg MaxS at GermEval 2021 Task 1: Synthetic Data in Toxic Comment Classification. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
|
1 | Julian Risch, Anke Stoll, Lena Wilms, Michael Wiegand (eds.) |
Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments, GermEval@KONVENS 2021, Düsseldorf, Germany, September 6, 2021 |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
|
1 | Rémi Calizzano, Malte Ostendorff, Georg Rehm |
DFKI SLT at GermEval 2021: Multilingual Pre-training and Data Augmentation for the Classification of Toxicity in Social Media Comments. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
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1 | Hoai Nam Tran, Udo Kruschwitz |
ur-iw-hnt at GermEval 2021: An Ensembling Strategy with Multiple BERT Models. |
GermEval@KONVENS |
2021 |
DBLP BibTeX RDF |
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