Papers with textual complexity
The iRead4Skills Intelligent Complexity Analyzer (2025.emnlp-demos)
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Wafa Aissa, Raquel Amaro, David Antunes, Thibault Bañeras-Roux, Jorge Baptista, Alejandro Catala, Luís Correia, Thomas François, Marcos Garcia, Mario Izquierdo-Álvarez, Nuno Mamede, Vasco Martins, Miguel Neves, Eugénio Ribeiro, Sandra Rodriguez Rey, Elodie Vanzeveren
| Challenge: | 20% of EU adult population exhibits low-literacy and numeracy skills (EA, 2021). |
| Approach: | iRead4Skills Intelligent Complexity Analyzer integrates a range of NLP components to assess input texts along multiple levels of granularity and linguistic dimensions in Portuguese, Spanish, and French. |
| Outcome: | The system assigns four tailored difficulty levels and introduces four diagnostic yardsticks—textual structure, lexicon, syntax, and semantics—offering users actionable feedback on specific dimensions of textual complexity. |
Scaling up Discourse Quality Annotation for Political Science (2022.lrec-1)
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| Challenge: | Existing annotations on deliberative quality are time-consuming and suffer from class imbalance . ephd thesis: deliberation is not only the output of the decision making, but also the discussion that leads up to it. |
| Approach: | They propose to use data augmentation techniques to improve deliberative quality predictions in a standard dataset. |
| Outcome: | The proposed methods outperform classifiers based on linguistic features and argument quality annotations with or without data augmentation. |
Mining the uncertainty patterns of humans and models in the annotation of moral foundations and human values (2025.acl-long)
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| Challenge: | disagreement in annotation (HLV) is considered a constitutive feature of subjective tasks. |
| Approach: | They investigate the relationship between disagreement in annotation and model uncertainty . they use linguistic features to calibrate models to HLV and uncertainty to analyze their impact on uncertainty. |
| Outcome: | The proposed model uncertainty is calibrated to human label variation (HLV) the proposed model is calibrate to human labels, the authors show . |