2 code implementations • 1 Sep 2021 • Isabel Segura-Bedmar, David Camino-Perdonas, Sara Guerrero-Aspizua
The paper explores the use of several deep learning techniques such as Bidirectional Long Short Term Memory (BiLSTM) networks or deep contextualized word representations based on Bidirectional Encoder Representations from Transformers (BERT) to recognize rare diseases and their clinical manifestations (signs and symptoms) in the RareDis corpus.