Papers by Nils Reiter
QUD-Based Annotation of Discourse Structure and Information Structure: Tool and Evaluation (L18-1)
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| Challenge: | a new annotation scheme and discourse-analytic method is developed for information structure annotation. |
| Approach: | They propose a new annotation scheme and a discourse-analytic method based on Questions under Discussion . they introduce a tool which enables the analyst to semi-automatically segment texts and enhance them with QUDs . |
| Outcome: | The proposed method achieves good inter-annotator scores and good agreement with discourse annotations. |
Exploring Text Recombination for Automatic Narrative Level Detection (2022.lrec-1)
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| Challenge: | Existing annotation workflows do not scale well to the annotation of complex narrative phenomena. |
| Approach: | They propose a workflow for narrative level detection that includes operationalization and a model . they propose generating training data synthetically to improve the prediction results . |
| Outcome: | The proposed workflow improves predictions by using training data synthetically. |
GerDraCor-Coref: A Coreference Corpus for Dramatic Texts in German (2020.lrec-1)
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| Challenge: | Dramatic texts are highly structured literary text types with linguistic and literary properties. |
| Approach: | They present an annotated corpus of German dramatic texts and preliminary experiments on automatic coreference resolution. |
| Outcome: | The proposed system achieves a 28.8 CoNLL score in dramatic texts compared to other dialogical text types such as interviews . the proposed system is expected to be extended to include the (partial) information given in the dramatis personae . |
Linguistically-Informed Evaluation of LLMs on Acceptability Judgments in a Forced-Choice Paradigm (2026.acl-srw)
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| Challenge: | Recent studies have reported close alignment with human judgments and systematic divergences driven by response biases and inconsistencies. |
| Approach: | They evaluate large language models' ability to perform acceptability judgments in a forced-choice paradigm. |
| Outcome: | The proposed models approximate human judgments but lack performance on morphosyntactic phenomena and prompt formulations. |
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. |