Papers by Christian Bauckhage

2 papers
A New Aligned Simple German Corpus (2023.acl-long)

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Challenge: “Leichte Sprache” is a regulated language aimed to facilitate complex written language that would otherwise stay inaccessible to different groups of people.
Approach: They propose to use automatic sentence-alignment methods to align multiple document-aligned sources to improve their sentence alignments.
Outcome: The proposed dataset outperforms previous work and is available under MIT license.
Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models (2025.coling-industry)

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Challenge: Existing approaches to anonymize textual data from large language models pose privacy risks due to their API-based access.
Approach: They propose a method to distill large language models into smaller encoder-only models via named entity recognition coupled with regular expressions to create a lightweight model capable of effective anonymization.
Outcome: The proposed approach reduces computational overhead while maintaining semantic integrity of data.

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