Abstract is missing.
- Frontmatter [doi]
- Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming CommentsJulian Risch, Anke Stoll, Lena Wilms, Michael Wiegand. 1-12 [doi]
- UPAppliedCL at GermEval 2021: Identifying Fact-Claiming and Engaging Facebook Comments Using TransformersRobin Schaefer, Manfred Stede. 13-18 [doi]
- FH-SWF SG at GermEval 2021: Using Transformer-Based Language Models to Identify Toxic, Engaging, & Fact-Claiming CommentsChristian Gawron, Sebastian Schmidt. 19-24 [doi]
- DFKI SLT at GermEval 2021: Multilingual Pre-training and Data Augmentation for the Classification of Toxicity in Social Media CommentsRémi Calizzano, Malte Ostendorff, Georg Rehm. 25-31 [doi]
- WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming CommentsSkye Morgan, Tharindu Ranasinghe, Marcos Zampieri. 32-38 [doi]
- Precog-LTRC-IIITH at GermEval 2021: Ensembling Pre-Trained Language Models with Feature EngineeringT. H. Arjun, Arvindh A., Ponnurangam Kumaraguru. 39-46 [doi]
- IRCologne at GermEval 2021: Toxicity ClassificationFabian Haak, Björn Engelmann. 47-53 [doi]
- DeTox at GermEval 2021: Toxic Comment ClassificationMina Schütz, Christoph Demus, Jonas Pitz, Nadine Probol, Melanie Siegel, Dirk Labudde. 54-61 [doi]
- Universität Regensburg MaxS at GermEval 2021 Task 1: Synthetic Data in Toxic Comment ClassificationMaximilian Schmidhuber. 62-68 [doi]
- TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming CommentsKinga Gémes, Gábor Recski. 69-75 [doi]
- AIT_FHSTP at GermEval 2021: Automatic Fact Claiming Detection with Multilingual Transformer ModelsJaqueline Böck, Daria Liakhovets, Mina Schütz, Armin Kirchknopf, Djordje Slijepcevic, Matthias Zeppelzauer, Alexander Schindler. 76-82 [doi]
- ur-iw-hnt at GermEval 2021: An Ensembling Strategy with Multiple BERT ModelsHoai-Nam Tran, Udo Kruschwitz. 83-87 [doi]
- Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the OvenNiclas Hildebrandt, Benedikt T. Boenninghoff, Dennis Orth, Christopher Schymura. 88-94 [doi]
- UR@NLP_A_Team @ GermEval 2021: Ensemble-based Classification of Toxic, Engaging and Fact-Claiming CommentsKwabena Odame Akomeah, Udo Kruschwitz, Bernd Ludwig. 95-99 [doi]
- HunterSpeechLab at GermEval 2021: Does Your Comment Claim A Fact? Contextualized Embeddings for German Fact-Claiming Comment ClassificationSubhadarshi Panda, Sarah Ita Levitan. 100-104 [doi]
- FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learningTobias Bornheim, Niklas Grieger, Stephan Bialonski. 105-111 [doi]