Maren Pielka

According to our database, Maren Pielka authored at least 22 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training.

Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Contradiction Detection in Financial Reports.

Tobias Deußer, Maren Pielka, Lisa Pucknat, Basil Jacob, Tim Dilmaghani Khameneh, Mahdis Nourimand, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

sustain.AI: a Recommender System to analyze Sustainability Reports.

Lars Hillebrand, Maren Pielka, David Leonhard, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Milad Morad, Christian Temath, Thiago Bell, Robin Stenzel, Rafet Sifa

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

Towards Linguistically Informed Multi-objective Transformer Pre-training for Natural Language Inference.

Maren Pielka, Svetlana Schmidt, Lisa Pucknat, Rafet Sifa

Proceedings of the Advances in Information Retrieval, 2023

Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models.

Lars Hillebrand, Armin Berger, Tobias Deußer, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Maren Pielka, David Leonhard, Christian Bauckhage, Rafet Sifa

Proceedings of the ACM Symposium on Document Engineering 2023, 2023

Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules.

Maren Pielka, Svetlana Schmidt, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Anonymization of German financial documents using neural network-based language models with contextual word representations.

David Biesner, Rajkumar Ramamurthy, Robin Stenzel, Max Lübbering, Lars Patrick Hillebrand, Anna Ladi, Maren Pielka, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa

Int. J. Data Sci. Anal., 2022

Towards Linguistically Informed Multi-Objective Pre-Training for Natural Language Inference.

Maren Pielka, Svetlana Schmidt, Lisa Pucknat, Rafet Sifa

CoRR, 2022

Towards Informed Pre-Training for Critical Error Detection in English-German.

Lisa Pucknat, Maren Pielka, Rafet Sifa

Proceedings of the LWDA 2022 Workshops: FGWM, 2022

A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives.

Maren Pielka, Felix Rode, Lisa Pucknat, Tobias Deußer, Rafet Sifa

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Zero-Shot Text Matching for Automated Auditing using Sentence Transformers.

David Biesner, Maren Pielka, Rajkumar Ramamurthy, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Rafet Sifa

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Datastack: Unification of Heterogeneous Machine Learning Dataset Interfaces.

Max Lübbering, Maren Pielka, Ilhamcengiz Henk, Rafet Sifa

Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

2021

Automatic Indexing of Financial Documents via Information Extraction.

Rajkumar Ramamurthy, Max Lübbering, Thiago Bell, Michael Gebauer, Bilge Ulusay, Daniel Uedelhoven, Tim Dilmaghani Khameneh, Rüdiger Loitz, Maren Pielka, Christian Bauckhage, Rafet Sifa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Detecting Contradictions in German Text: A Comparative Study.

Lisa Pucknat, Maren Pielka, Rafet Sifa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Utilizing Representation Learning for Robust Text Classification Under Datasetshift.

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Maren Pielka, Christian Bauckhage, Rafet Sifa

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis.

Max Lübbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

ALiBERT: improved automated list inspection (ALI) with BERT.

Rajkumar Ramamurthy, Maren Pielka, Robin Stenzel, Christian Bauckhage, Rafet Sifa, Tim Dilmaghani Khameneh, Ulrich Warning, Bernd Kliem, Rüdiger Loitz

Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021

2020

Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks.

Maren Pielka, Rafet Sifa, Lars Patrick Hillebrand, David Biesner, Rajkumar Ramamurthy, Anna Ladi, Christian Bauckhage

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Adapting Established Text Representations for Predicting Review Sentiment in Turkish.

Izel Çavusoglu, Maren Pielka, Rafet Sifa

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Towards Contradiction Detection in German: a Translation-Driven Approach.

Rafet Sifa, Maren Pielka, Rajkumar Ramamurthy, Anna Ladi, Lars Patrick Hillebrand, Christian Bauckhage

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Community Detection Based Approach for Exploring Patterns in Player Reviews.

Maren Pielka, Rafet Sifa, Rajkumar Ramamurthy, César Ojeda, Christian Bauckhage

Proceedings of the Intelligent Systems and Applications, 2019

Towards Automated Auditing with Machine Learning.

Rafet Sifa, Anna Ladi, Maren Pielka, Rajkumar Ramamurthy, Lars Patrick Hillebrand, Birgit Kirsch, David Biesner, Robin Stenzel, Thiago Bell, Max Lübbering, Ulrich Nütten, Christian Bauckhage, Ulrich Warning, Benedikt Fürst, Tim Dilmaghani Khameneh, Daniel Thom, Ilgar Huseynov, Roland Kahlert, Jennifer Schlums, Hisham Ismail, Bernd Kliem, Rüdiger Loitz

Proceedings of the ACM Symposium on Document Engineering 2019, 2019