Papers by Jorge Ribeiro
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. |
Effort Estimation in Named Entity Tagging Tasks (2020.lrec-1)
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| Challenge: | Named Entity Recognition (NER) requires large amounts of annotated data. |
| Approach: | They investigate which variables influence the time spent on a named entity annotation task by a human . they found a root mean squared error (RMSE) of 25.68 words per minute with a Nearest Neighbors model . |
| Outcome: | The proposed model achieves a root mean squared error (RMSE) of 25.68 words per minute with a Nearest Neighbors model. |