Christopher Schröder

According to our database, Christopher Schröder authored at least 22 papers between 2020 and 2024.

Collaborative distances:

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

2024

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models.

Christopher Schröder, Gerhard Heyer

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Small-Text: Active Learning for Text Classification in Python.

Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast

Dataset, December, 2023

EMNLP-23-Bootstrapping-a-Violence-Detector-for-Fan-Fiction.

Magdalena Wolska, Matti Wiegmann, Christopher Schröder, Ole Borchardt, Benno Stein, Martin Potthast

Dataset, October, 2023

Small-Text: Active Learning for Text Classification in Python.

Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast

Dataset, August, 2023

Small-Text: Active Learning for Text Classification in Python.

Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast

Dataset, July, 2023

Small-Text: Active Learning for Text Classification in Python.

Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast

Dataset, February, 2023

Small-Text: Active Learning for Text Classification in Python.

Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast

Dataset, February, 2023

Trigger Warnings: Bootstrapping a Violence Detector for Fan Fiction.

Magdalena Wolska, Matti Wiegmann, Christopher Schröder, Ole Borchardt, Benno Stein, Martin Potthast

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Small-Text: Active Learning for Text Classification in Python.

Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

The Infinite Index: Information Retrieval on Generative Text-To-Image Models.

Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, Martin Potthast

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

Trigger Warning Assignment as a Multi-Label Document Classification Problem.

Matti Wiegmann, Magdalena Wolska, Christopher Schröder, Ole Borchardt, Benno Stein, Martin Potthast

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Small-Text: Active Learning for Text Classification in Python.

Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast

Dataset, October, 2022

Small-Text: Active Learning for Text Classification in Python.

Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast

Dataset, October, 2022

Small-Text: Active Learning for Text Classification in Python.

Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast

Dataset, September, 2022

Small-Text: Active Learning for Text Classification in Python.

Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast

Dataset, June, 2022

Trigger Warnings: Bootstrapping a Violence Detector for FanFiction.

Magdalena Wolska, Christopher Schröder, Ole Borchardt, Benno Stein, Martin Potthast

CoRR, 2022

Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers.

Christopher Schröder, Andreas Niekler, Martin Potthast

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

The Impact of Main Content Extraction on Near-Duplicate Detection.

Maik Fröbe, Matthias Hagen, Janek Bevendorff, Michael Völske, Benno Stein, Christopher Schröder, Robby Wagner, Lukas Gienapp, Martin Potthast

CoRR, 2021

Uncertainty-based Query Strategies for Active Learning with Transformers.

Christopher Schröder, Andreas Niekler, Martin Potthast

CoRR, 2021

Mining Legacy Issues in Open Pit Mining Sites: Innovation & Support of Renaturalization and Land Utilization.

Christopher Schröder, Kim Bürgl, Yves Annanias, Andreas Niekler, Lydia Müller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann, Gerhard Heyer

CoRR, 2021

Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning.

Christopher Schröder, Kim Bürgl, Yves Annanias, Andreas Niekler, Lydia Müller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann, Gerhard Heyer

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A Survey of Active Learning for Text Classification using Deep Neural Networks.

Christopher Schröder, Andreas Niekler

CoRR, 2020