Mental disorders can severely affect quality of life, constitute a major predictive factor of
suicide, and are usually underdiagnosed and undertreated. Early detection of signs of …

In this paper, we propose FrameBERT, a RoBERTa-based model that can explicitly learn
and incorporate FrameNet Embeddings for concept-level metaphor detection. FrameBERT …

The wide spread of false information has detrimental effects on society, and false information
detection has received wide attention. When new domains appear, the relevant labeled data …

We propose a novel RoBERTa-based model, RoPPT, which introduces a target-oriented
parse tree structure in metaphor detection. Compared to existing models, RoPPT focuses on …

Introduction: Depression constitutes a fundamental problem for society and understanding
its aetiology is of unequivocal importance. Seminal theories implicated low perceived …

Depression is a widespread and intractable problem in modern society, which may lead to
suicide ideation and behavior. Analyzing depression or suicide based on the posts of social …

[EN] This paper summarizes the contributions of the PRHLT-UPV team as a participant in the
eRisk 2020 tasks on self-harm detection and prediction of depression levels from social …

Medical dialogue generation aims to generate responses according to a history of dialogue
turns between doctors and patients. Unlike open-domain dialogue generation, this requires …

This book presents the best of the first five years of eRisk. eRisk 10, which is a shortening of
Early Risk Prediction on the Internet, is concerned with the exploration of techniques for the …

AI-driven edge computing is a development trend of the Industrial Internet of Things (IIoT).
However, most existing solutions ignore the limitations of flexibility, security, and real-time …