Papers by Jorge Baptista

3 papers
The iRead4Skills Intelligent Complexity Analyzer (2025.emnlp-demos)

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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.
Enhancing Writing Proficiency Classification in Developmental Education: The Quest for Accuracy (2024.lrec-main)

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Challenge: Existing literature raises concerns about automated assessment tools like Accuplacer’s narrow representation of the writing process.
Approach: They propose to use machine-learning to annotate college essays for machine/deep learning.
Outcome: The proposed method improves the classification accuracy of 100 college-intending students’ essays against human raters.
Charting the Linguistic Landscape of Developing Writers: An Annotation Scheme for Enhancing Native Language Proficiency (2024.lrec-main)

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Challenge: An annotation task was designed to capture orthographic, grammatical, lexical, semantic, and discursive patterns exhibited by college native English speakers participating in developmental education (DevEd) courses.
Approach: They propose an annotation task to capture orthographic, grammatical, lexical, semantic, and discursive patterns exhibited by college native English speakers participating in developmental education courses.
Outcome: The proposed annotation task captures orthographic, grammatical, lexical, semantic, and discursive patterns exhibited by college native English speakers participating in developmental education courses.

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