Matteo Delsanto


2024

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Legal Text Reader Profiling: Evidences from Eye Tracking and Surprisal Based Analysis
Calogero J. Scozzaro | Davide Colla | Matteo Delsanto | Antonio Mastropaolo | Enrico Mensa | Luisa Revelli | Daniele P. Radicioni
Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024

Reading movements and times are a precious cue to follow reader’s strategy, and to track the underlying effort in text processing. To date, many approaches are being devised to simplify texts to overcome difficulties stemming from sentences obscure, ambiguous or deserving clarification. In the legal domain, ensuring the clarity of norms and regulations is of the utmost importance, as the full understanding of such documents lies at the foundation of core social obligations and rights. This task requires determining which utterances and text excerpts are difficult for which (sort of) reader. This investigation is the aim of the present work. We propose a preliminary study based on eye-tracking data of 61 readers, with focus on individuating different reader profiles, and on predicting reading times of our readers.

2023

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EliCoDe at MultiGED2023: fine-tuning XLM-RoBERTa for multilingual grammatical error detection
Davide Colla | Matteo Delsanto | Elisa Di Nuovo
Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning