Autor(es)

Lorraine Goeuriot and Hanna Suominen and Liadh Kelly and Laura Alonso Alemany and Nicola Brew-Sam and Viviana Cotik and Darío Filippo and Gabriela Gonzalez Saez and Franco Luque and Philippe Mulhem and Gabriella Pasi and Roland Roller and Sandaru Seneviratne and Jorge Vivaldi and Marco Viviani and Chenchen Xu

URL Pública

Abstract

Motivated by the ever increasing difficulties faced by laypeople in retrieving and digesting valid and relevant information to make health-centred decisions, the CLEF eHealth lab series has offered shared tasks to the community in the fields of Information Extraction (IE), management, and Information Retrieval (IR) since 2013. These tasks have attracted large participation and led to statistically significant improvements in processing quality. In 2021, CLEF eHealth is calling for participants to contribute to the following two tasks: Task 1 on IE focuses on IE from noisy text. Participants will identify and classify Named Entities in written ultrasonography reports, containing misspellings and inconsistencies, from a major public hospital in Argentina. Identified entities will then have to be classified, which can be very challenging as it requires to handle lexical variations. Task 2 is a novel extension of the most popular …