A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Pre-trained language models to extract information from radiological reports
2021
Conference and Labs of the Evaluation Forum
This paper describes the participation of the SINAI team in the SpRadIE challenge: Information Extraction from Spanish radiology reports which consists of identifying biomedical entities related to the radiological domain. There have been many tasks focused on extracting relevant information from clinical texts, however, no previous task has been centered on radiology using Spanish as the main language. Detecting relevant information automatically in biomedical texts is a crucial task because
dblp:conf/clef/Lopez-UbedaDLM21
fatcat:cghdctwklvezrp6hli4acugtji