Papers by Arthur Scalercio

1 papers
Enhancing Sentence Simplification in Portuguese: Leveraging Paraphrases, Context, and Linguistic Features (2024.findings-acl)

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Challenge: Automated text simplification requires (paired) datasets that are scarce in languages other than English.
Approach: They propose a method that leverages paraphrases, context, and linguistic attributes to overcome the absence of paired texts in Portuguese.
Outcome: The proposed model surpasses the current state-of-the-art while competing with a Large Language Model.

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