Papers by Rossana Cunha

2 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.
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.

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