activity
20142025
most citedUsing Generic Summarization to Improve Music Information Retrieval Tasks

26 citations · 61 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

Entity Re-identification in Visual Storytelling via Contrastive Reinforcement Learning

Daniel A. P. Oliveira, David Martins de Matos

Visual storytelling systems, particularly large vision-language models, struggle to maintain character and object identity across frames, often failing to recognize when entities i…

cs.CV2025

StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation

Daniel A. P. Oliveira, David Martins de Matos

Visual storytelling systems struggle to maintain character identity across frames and link actions to appropriate subjects, frequently leading to referential hallucinations. These…

cs.CL2022★ 5 cited

Chronic pain patient narratives allow for the estimation of current pain intensity

Diogo A. P. Nunes, Joana Ferreira-Gomes, Daniela Oliveira +4

Chronic pain is a multi-dimensional experience, and pain intensity plays an important part, impacting the patients emotional balance, psychology, and behaviour. Standard self-repor…

cs.CL2021★ 5 cited

Chronic Pain and Language: A Topic Modelling Approach to Personal Pain Descriptions

Diogo A. P. Nunes, Joana Ferreira Gomes, Fani Neto +1

Chronic pain is recognized as a major health problem, with impacts not only at the economic, but also at the social, and individual levels. Being a private and subjective experienc…

cs.CL2021★ 10 cited

Modeling chronic pain experiences from online reports using the Reddit Reports of Chronic Pain dataset

Diogo A. P. Nunes, Joana Ferreira-Gomes, Fani Neto +1

Objective: Reveal and quantify qualities of reported experiences of chronic pain on social media, from multiple pathological backgrounds, by means of the novel Reddit Reports of Ch…

cs.IR2015★ 9 cited

Privacy-Preserving Multi-Document Summarization

Luís Marujo, José Portêlo, Wang Ling +6

State-of-the-art extractive multi-document summarization systems are usually designed without any concern about privacy issues, meaning that all documents are open to third parties…