no code implementations • 11 Jan 2024 • Wesley Ramos dos Santos, Ivandre Paraboni
This article presents a method for prompt-based mental health screening from a large and noisy dataset of social media text.
no code implementations • 11 Dec 2023 • Camila Pereira, Matheus Pavan, Sungwon Yoon, Ricelli Ramos, Pablo Costa, Lais Cavalheiro, Ivandre Paraboni
This work introduces UstanceBR, a multimodal corpus in the Brazilian Portuguese Twitter domain for target-based stance prediction.
no code implementations • 24 Jun 2022 • Samuel Caetano da Silva, Ivandre Paraboni
The inference of politically-charged information from text data is a popular research topic in Natural Language Processing (NLP) at both text- and author-level.
no code implementations • 6 Oct 2018 • Wesley Ramos dos Santos, Ivandre Paraboni
Fundamental Big Five personality traits (e. g., Extraversion) and their facets (e. g., Activity) are known to correlate with a broad range of linguistic features and, accordingly, the recognition of personality traits from text is a well-known Natural Language Processing task.
no code implementations • 24 Dec 2017 • Danillo da Silva Rocha, Alex Gwo Jen Lan, Ivandre Paraboni
Studies in Referring Expression Generation (REG) often make use of corpora of definite descriptions produced by human subjects in controlled experiments.
no code implementations • 12 Apr 2017 • Thiago castro Ferreira, Ivandre Paraboni
Referring expression generation (REG) models that use speaker-dependent information require a considerable amount of training data produced by every individual speaker, or may otherwise perform poorly.