no code implementations • NAACL (CLPsych) 2022 • Hermenegildo Fabregat Marcos, Ander Cejudo, Juan Martinez-Romo, Alicia Perez, Lourdes Araujo, Nuria Lebea, Maite Oronoz, Arantza Casillas
This paper describes the participation of our group on the CLPsych 2022 shared task. For task A, which tries to capture changes in mood over time, we have applied an Approximate Nearest Neighbour (ANN) extraction technique with the aim of relabelling the user messages according to their proximity, based on the representation of these messages in a vector space.
2 code implementations • RANLP 2021 • Alberto Blanco, Sonja Remmer, Alicia Pérez, Hercules Dalianis, Arantza Casillas
We introduce a multi-label text classifier with per-label attention for the classification of Electronic Health Records according to the International Classification of Diseases.
no code implementations • WS 2016 • Alicia P{\'e}rez, Arantza Casillas, Koldo Gojenola
In brief, the ADRs are represented as vectors that link the drug with the disease in their context through a recursive additive model.
no code implementations • WS 2016 • Rebecka Weegar, Arantza Casillas, Arantza Diaz de Ilarraza, Maite Oronoz, Alicia P{\'e}rez, Koldo Gojenola
The goal of this paper is to examine the impact of simple feature engineering mechanisms before applying more sophisticated techniques to the task of medical NER.