Papers by Frank Puppe
Detecting Scenes in Fiction: A new Segmentation Task (2021.eacl-main)
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Albin Zehe, Leonard Konle, Lea Katharina Dümpelmann, Evelyn Gius, Andreas Hotho, Fotis Jannidis, Lucas Kaufmann, Markus Krug, Frank Puppe, Nils Reiter, Annekea Schreiber, Nathalie Wiedmer
| Challenge: | Text segmentation is a long standing issue in the area of natural language processing . even modern methods struggle with processing text longer than a couple of sentences or paragraphs . |
| Approach: | They introduce the task of scene segmentation on narrative texts and provide an annotated corpus . they discuss linguistic and narrative properties of the task and provide baseline experiments . |
| Outcome: | The proposed task is very challenging and the results are impressive. |
ADEA: An Argumentative Dialogue Dataset on Ethical Issues Concerning Future A.I. Applications (2024.lrec-main)
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| Challenge: | Introducing ADEA: a dataset that captures online dialogues and focuses on ethical issues related to future AI applications. |
| Approach: | They propose a German dataset that captures online dialogues on ethical issues . the dataset includes over 2800 labeled user utterances on four different topics . they use an argument graph as the system's knowledge base and an annotation scheme . |
| Outcome: | The proposed dataset includes over 2800 user utterances on four ethical topics . the aim is to improve knowledge about AI ethics topics through argumentative dialogues . |