Papers by Dominik Pfütze

2 papers
A Corpus for Automatic Readability Assessment and Text Simplification of German (2020.lrec-1)

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Challenge: Using monolingual-only data, we can automate readability assessment and text simplification of simplified language.
Approach: They present a corpus for automatic readability assessment and automatic text simplification for German using parallel and monolingual data.
Outcome: The proposed corpus is compiled from web sources and contains information on text structure, typography, font style, and images.
A Corpus for Suggestion Mining of German Peer Feedback (2022.lrec-1)

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Challenge: e.g. Massive Open Online Courses (MOOCs) are increasingly important to meet the demand for feedback in large scale classes.
Approach: They propose to use peer feedback to detect suggestions on how to improve the work of students in a german university course.
Outcome: The proposed corpus is the first student peer feedback corpus in germany and has been labelled with a new annotation scheme.

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