Papers by Thiemo Wambsganss
Structured Persuasive Writing Support in Legal Education: A Model and Tool for German Legal Case Solutions (2023.findings-acl)
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| Challenge: | An annotation approach for capturing structured components and arguments in legal case solutions of German students is proposed based on the appraisal style, which dictates the structured way of persuasive writing in law. |
| Approach: | They propose an annotation scheme with annotation guidelines that identify structured writing in legal case solutions. |
| Outcome: | The proposed approach captures the structure of a persuasive legal text and can be predicted using transformer-based models. |
Supporting Cognitive and Emotional Empathic Writing of Students (2021.acl-long)
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| Challenge: | Empathy skills are an elementary skill in society for daily interaction and professional communication and are therefore elementary for educational curricula. |
| Approach: | They propose an annotation approach to capture emotional and cognitive empathy in student-written peer reviews on business models in germany. |
| Outcome: | The proposed annotation scheme guides annotators to a substantial to moderate agreement with the model and shows that it is effective. |
Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative Writing (2022.acl-long)
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| Challenge: | Argumentation is an omnipresent rudiment of daily communication and thinking . humans struggle to develop argumentation skills due to a lack of individual and instant feedback in their learning process. |
| Approach: | They propose an argumentation annotation approach to model argumentative discourse in student-written business model pitches and embed it into an adaptive writing support system for students that provides individual argumentation feedback. |
| Outcome: | The proposed method annotates a corpus of 200 business model pitches in german and measures their self-efficacy and ease-of-use in a real-world writing exercise. |
A Corpus for Argumentative Writing Support in German (2020.coling-main)
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| Challenge: | In today's world most information is readily available. Consequently, the sole reproduction of information is losing attention. |
| Approach: | They propose an annotation approach to capture claims and premises of arguments and their relations in student-written peer reviews on business models in german language. |
| Outcome: | The proposed annotation scheme guides annotators to moderate agreement with the proposed scheme on 50 persuasive student-written peer reviews on business models. |
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance (2023.findings-emnlp)
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| Challenge: | Large Language Models (LLMs) are increasingly utilized in educational tasks such as providing writing suggestions to students. |
| Approach: | They conduct a large-scale user study with 231 students writing business case peer reviews in german. |
| Outcome: | The proposed model does not carry bias in the feedback loops of the students . |
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling (2022.coling-1)
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| Challenge: | Existing studies have highlighted a variety of biases in pre-trained language models . however, these studies focus on fine-grained analysis of educational corpora and text that is not English . |
| Approach: | They analyze bias across text and through multiple architectures on a corpus of 9,165 German peer-reviews collected from university students over five years. |
| Outcome: | The proposed dataset shows that pre-trained language models exhibit conceptual, racial, and gender biases. |
Modelling Argumentation for an User Opinion Aggregation Tool (2024.lrec-main)
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| Challenge: | Existing methods for eliciting information from user opinion data are limited to high-level text and are prone to hallucination, degrading system performance or introduce biases. |
| Approach: | They propose an argumentation annotation scheme that models argumentative structure across user opinion domains. |
| Outcome: | The proposed model can predict arguments and contextual details from user opinions . the model can rank products based on user opinions and improve user experience . |