mlsanityData to 14 Oct 2026

Avaliacc~ao de eficiencia na leitura: uma abordagem baseada em PLN

arXiv 2508.15824 ↗First posted 18 Aug 2025cs.CLcited by 0

Not on the map. Why?

Abstract (arXiv)

The cloze test, widely used due to its low cost and flexibility, makes it possible to assess reading comprehension by filling in gaps in texts, requiring the mobilization of diverse linguistic repertoires. However, traditional correction methods, based only on exact answers, limit the identification of nuances in student performance. This study proposes an automated evaluation model for the cloze test in Brazilian Portuguese, integrating orthographic (edit distance), grammatical (POS tagging) and semantic (similarity between embeddings) analyses. The integrated method demonstrated its effectiveness, achieving a high correlation with human evaluation (0.832). The results indicate that the automated approach is robust, sensitive to variations in linguistic repertoire and suitable for educational contexts that require scalability.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 19 references that are in the map. First posted on arXiv 18 Aug 2025.

Builds on

4 of 19 references.

References · 4

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  2. 2019HuggingFace's Transformers: State-of-the-art Natural Language Processingcited by 2,218
  3. 2024Fostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Familycited by 8
  4. 2024NLP and Education: using semantic similarity to evaluate filled gaps in a large-scale Cloze test in the classroomcited by 1

Built on by

Not cited yet.