Papers by Adriana Pagano

4 papers
Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities (2020.coling-main)

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Challenge: Data-to-text Natural Language Generation (NLG) is a computational process of generating natural language from non-linguistic data.
Approach: They propose two extensions to a state-of-the-art encoder-decoder REG model that generates referring expressions to unseen entities.
Outcome: The proposed model generates more meaningful referring expressions to unseen entities than the original system and related work.
Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers (2025.acl-tutorials)

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Challenge: This tutorial will equip participants with basic guidelines for thinking deeply about ethical issues . participants will gain practical experience on when to flag a paper for ethics review .
Approach: This tutorial will equip participants with basic guidelines for thinking deeply about ethical issues . participants will gain practical experience on when to flag a paper for ethics review .
Outcome: This tutorial will equip participants with basic guidelines for thinking deeply about ethical issues . participants will gain practical experience on when to flag a paper for ethics review .
A Persona-Based Corpus in the Diabetes Self-Care Domain - Applying a Human-Centered Approach to a Low-Resource Context (2024.lrec-main)

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Challenge: Human-centered design (HCD) is a new approach to natural language processing that uses personas, user profiles and other tools to build corpus.
Approach: They propose to use personas to model interpersonal interaction in a healthcare domain to follow an HCD approach.
Outcome: The proposed model improves the quality of human-centered design in a healthcare domain and overcomes the lack of in-depth human-centricity in the field.
Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing (2020.coling-main)

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Challenge: Existing corpus for automatic post-editing of English and Brazilian Portuguese is limited.
Approach: They introduce a corpus for Automatic Post-Editing of English and Brazilian Portuguese.
Outcome: The proposed corpus improves on the English and Brazilian Portuguese languages.

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