Papers by Benjamin Paassen
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates (2024.emnlp-main)
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| Challenge: | Traditionally, solidarity relied on common identity and reciprocity, potentially excluding out-groups like migrants. |
| Approach: | They examine the frequency of (anti-)solidarity towards women and migrants in German parliamentary debates between 1867 and 2022. |
| Outcome: | The proposed model outperforms other models in the analysis of 2,864 text snippets and finds that solidarity with migrants outweighs anti-solidarity but frequencies and solidarity types shift over time. |
EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language (2024.naacl-demo)
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| Challenge: | Existing methods to gather test items from validated item databases are under-researched, but there is little research on assembling exam items from a database of valid items. |
| Approach: | They propose to use semantic search to assist vocational educators in assembling exam forms by using eight retrieval strategies and 25 popular sentence similarity models. |
| Outcome: | The proposed tool is based on eight retrieval strategies and 25 popular pre-trained sentence similarity models. |
Mitigating Bias in Item Retrieval for Enhancing Exam Assembly in Vocational Education Services (2025.naacl-industry)
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| Challenge: | Despite the practical importance of exam assembly, few methods exist to support educators during manual item retrieval for exam assembly tasks. |
| Approach: | They propose a mixed-integer programming re-ranking approach to improve relevance while mitigating bias on an industry-grade exam assembly platform. |
| Outcome: | The proposed approach improves relevance and reduces bias by 17% when compared to other methods on a real-world exam assembly platform. |