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SINAI at eRisk@CLEF 2023: Approaching Early Detection of Gambling with Natural Language Processing
Alba Maria Marmol-Romero, Flor Miriam Plaza-del-Arco, Arturo Montejo-Raez
https://arxiv.org/abs/2509.14797

SINAI at eRisk@CLEF 2023: Approaching Early Detection of Gambling with Natural Language Processing
This paper describes the participation of the SINAI team in the eRisk@CLEF lab. Specifically, one of the proposed tasks has been addressed: Task 2 on the early detection of signs of pathological gambling. The approach presented in Task 2 is based on pre-trained models from Transformers architecture with comprehensive preprocessing data and data balancing techniques. Moreover, we integrate Long-short Term Memory (LSTM) architecture with automodels from Transformers. In this Task, our team has be…