2025
EMNLP
EMNLP 2025
Analyzing Gambling Addictions: A Spanish Corpus for Understanding Pathological Behavior
Abstract
AbstractThis work fosters research on the interaction between natural language use and gambling disorders. We have built a new Spanish corpus for screening standardized gambling symptoms. We employ search methods to find on-topic sentences, top-k pooling to form the assessment pools of sentences, and thorough annotation guidelines. The labeling task is challenging, given the need to identify topic relevance and explicit evidence about the symptoms. Additionally, we explore using state-of-the-art LLMs for annotation and compare different sentence search models.
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Interdisciplinary Bridge
— Healthcare & Medicine and Interdisciplinary and Machine Learning and Natural Language Processing
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Keyword Pioneer
— gambling disorder
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio