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Christopher Schröder

A Survey of Active Learning for Text Classification using Deep Neural Networks
2020 · Schröder, Christopher, Niekler, Andreas · arXiv (Cornell University) · 59
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Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers
2022 · Christopher Schröder, Andreas Niekler, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 57
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The Infinite Index: Information Retrieval on Generative Text-To-Image Models
2023 · Niklas Deckers, Maik Fröbe, et al. · Conference on Human Information Interaction and Retrieval · 28
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Small-Text: Active Learning for Text Classification in Python
2023 · Christopher Schröder, Lydia Müller, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 18
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Trigger Warning Assignment as a Multi-Label Document Classification Problem
2023 · Matti Wiegmann, Magdalena Wolska, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 12
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Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning
2021 · Christopher Schröder, Kim Bürgl, et al. · 5
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Trigger Warnings: Bootstrapping a Violence Detector for Fan Fiction
2023 · Magdalena Wolska, Matti Wiegmann, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 4
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Uncertainty-based Query Strategies for Active Learning with Transformers.
2021 · Christopher Schröder, Andreas Niekler, et al. · arXiv (Cornell University) · 4
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
2024 · Christopher Schröder, Gerhard Heyer · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
2026 · Julia Romberg, Christopher Schröder, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 1
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When Attention Goes Blind: Numerical Failure in ALiBi Positional Encodings
2026 · Schröder, Christopher, Gienapp, Lukas, et al. · arXiv (Cornell University)
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Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
2026 · Association for Computational Linguistics 2026, Gonsior, Julius, et al. · Underline Science Inc.
Web Survey: Data Annotation Bottleneck and Active Learning for Natural Language Processing in the Era of Large Language Models
2026 · Romberg, Julia, Schröder, Christopher, et al. · GESIS Data Archive
Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
2025 · Romberg, Julia, Schröder, Christopher, et al. · arXiv (Cornell University)
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Bootstrapping a Sentence-Level Corpus Quality Classifier forWeb Text using Active Learning
2025 · Maximilian Bley, Thomas Eckart, et al. · Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models
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EMNLP-23-Bootstrapping-a-Violence-Detector-for-Fan-Fiction
2023 · Wolska, Magdalena, Wiegmann, Matti, et al. · Zenodo (CERN European Organization for Nuclear Research)
PAN23 Trigger Detection
2023 · Matti Wiegmann, Magdalena Wolska, et al. · Zenodo (CERN European Organization for Nuclear Research)
The Impact of Main Content Extraction on Near-Duplicate Detection
2021 · Fröbe, Maik, Hagen, Matthias, et al. · arXiv (Cornell University)
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The Impact of Main Content Extraction on Near-Duplicate Detection
2021 · Stein, Benno, Schröder, Christopher, et al. · Zenodo (CERN European Organization for Nuclear Research)
Mining Legacy Issues in Open Pit Mining Sites: Innovation & Support of Renaturalization and Land Utilization.
2021 · Christopher Schröder, Kim Bürgl, et al. · arXiv (Cornell University)
Works count: 31
Citation count: 190
H-index: 5
I10-index: 5
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