BioASQ 2022-DisTEMIST [NLP system]: NLP-CIC-WFU Disease Mention Detection - Antonio Tamayo
Автор: Biomedical Text Mining
Загружено: 2022-09-05
Просмотров: 87
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Title: BioASQ 2022-DisTEMIST [NLP system]: NLP-CIC-WFU Disease Mention Detection - Antonio Tamayo
Speaker: Antonio Tamayo
Speaker affiliation: Instituto Politécnico Nacional (IPN) - Centro de Investigación en Computación (CIC), Ciudad de México, México
Abstract: Automatic disease mention extraction is a relevant task due to its various applications in the medical field. During the last decade, many related works have been published, which have accelerated the progress of this research area, but most of them have been carried out in English. In this work, we propose a deep-learning baseline for this task in Spanish. We report an approach based on transfer learning using multilingual BERT and a straightforward post-processing to tackle the problem. Our system does not use any external resources and rely only on efficient fine tuning, which makes it a fair baseline (Micro F1 = 0.5456) for disease mention identification in Spanish using transformer-based models.
Link to resources: https://github.com/ajtamayoh/NLP-CIC-...
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