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GermEval@KONVENS
2022
2022
2022
Keyphrases
Publications
2022
Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text, GermEval@KONVENS 2022, Potsdam, Germany, September 12, 2022.
GermEval@KONVENS
(2022)
Leander Girrbach
Text Complexity DE Challenge 2022 Submission Description: Pairwise Regression for Complexity Prediction.
GermEval@KONVENS
(2022)
Hadi Asghari
,
Freya Hewett
HIIG at GermEval 2022: Best of Both Worlds Ensemble for Automatic Text Complexity Assessment.
GermEval@KONVENS
(2022)
Salar Mohtaj
,
Babak Naderi
,
Sebastian Möller
Overview of the GermEval 2022 Shared Task on Text Complexity Assessment of German Text.
GermEval@KONVENS
(2022)
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)
Patrick Gustav Blaneck
,
Tobias Bornheim
,
Niklas Grieger
,
Stephan Bialonski
Automatic Readability Assessment of German Sentences with Transformer Ensembles.
GermEval@KONVENS
(2022)
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)
Bogdan Kostic
,
Mathis Lucka
,
Julian Risch
Pseudo-Labels Are All You Need.
GermEval@KONVENS
(2022)
Alejandro Mosquera
Tackling Data Drift with Adversarial Validation: An Application for German Text Complexity Estimation.
GermEval@KONVENS
(2022)
Ulf A. Hamster
Everybody likes short sentences - A Data Analysis for the Text Complexity DE Challenge 2022.
GermEval@KONVENS
(2022)
Frontmatter.
GermEval@KONVENS
(2022)
David Arps
,
Jan Kels
,
Florian Krämer
,
Yunus Renz
,
Regina Stodden
,
Wiebke Petersen
HHUplexity at Text Complexity DE Challenge 2022.
GermEval@KONVENS
(2022)
2021
Fabian Haak
,
Björn Engelmann
IRCologne at GermEval 2021: Toxicity Classification.
GermEval@KONVENS
(2021)
Kinga Gémes
,
Gábor Recski
TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments.
GermEval@KONVENS
(2021)
Frontmatter.
GermEval@KONVENS
(2021)
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)
T. H. Arjun
,
Arvindh A.
,
Ponnurangam Kumaraguru
Precog-LTRC-IIITH at GermEval 2021: Ensembling Pre-Trained Language Models with Feature Engineering.
GermEval@KONVENS
(2021)
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)
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)
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)
Tobias Bornheim
,
Niklas Grieger
,
Stephan Bialonski
FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning.
GermEval@KONVENS
(2021)
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)
Mina Schütz
,
Christoph Demus
,
Jonas Pitz
,
Nadine Probol
,
Melanie Siegel
,
Dirk Labudde
DeTox at GermEval 2021: Toxic Comment Classification.
GermEval@KONVENS
(2021)
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)
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)
Robin Schaefer
,
Manfred Stede
UPAppliedCL at GermEval 2021: Identifying Fact-Claiming and Engaging Facebook Comments Using Transformers.
GermEval@KONVENS
(2021)
Maximilian Schmidhuber
Universität Regensburg MaxS at GermEval 2021 Task 1: Synthetic Data in Toxic Comment Classification.
GermEval@KONVENS
(2021)
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)
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)
Hoai Nam Tran
,
Udo Kruschwitz
ur-iw-hnt at GermEval 2021: An Ensembling Strategy with Multiple BERT Models.
GermEval@KONVENS
(2021)