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Prompt-based mental health screening from social media text
This article presents a method for prompt-based mental health screening from a large and noisy dataset of social media text.
UstanceBR: a multimodal language resource for stance prediction
This work introduces UstanceBR, a multimodal corpus in the Brazilian Portuguese Twitter domain for target-based stance prediction.
Text and author-level political inference using heterogeneous knowledge representations
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.
Personality facets recognition from text
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.
Semi-automatic definite description annotation: a first report
Studies in Referring Expression Generation (REG) often make use of corpora of definite descriptions produced by human subjects in controlled experiments.
Trainable Referring Expression Generation using Overspecification Preferences
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.
