no code implementations • WS 2019 • Renzo Rivera, Paloma Mart{\'\i}nez
In this work, we introduce a Deep Learning architecture for pharmaceutical and chemical Named Entity Recognition in Spanish clinical cases texts.
no code implementations • SEMEVAL 2017 • Isabel Segura-Bedmar, Crist{\'o}bal Col{\'o}n-Ruiz, Paloma Mart{\'\i}nez
For the task of identification, we use the BANNER tool, a named entity recognition system, which is based on conditional random fields (CRF) and has obtained successful results in the biomedical domain.
no code implementations • SEMEVAL 2017 • V{\'\i}ctor Su{\'a}rez-Paniagua, Isabel Segura-Bedmar, Paloma Mart{\'\i}nez
In this paper, we describe our participation at the subtask of extraction of relationships between two identified keyphrases.
no code implementations • EACL 2017 • Isabel Segura-Bedmar, Antonio Quir{\'o}s, Paloma Mart{\'\i}nez
Spanish is the third-most used language on the internet, after English and Chinese, with a total of 7. 7{\%} (more than 277 million of users) and a huge internet growth of more than 1, 400{\%}.