CLEF eHealth Evaluation Lab 2021
| Autor: | Hanna Suominen, Gabriella Pasi, Liadh Kelly, Lorraine Goeuriot, Franco M. Luque, Nicola Brew-Sam, Sandaru Seneviratne, Laura Alonso Alemany, Philippe Mulhem, Jorge Vivaldi, Viviana Cotik, Roland Roller, Chenchen Xu, Darío Filippo, Gabriela Gonzalez Saez, Marco Viviani |
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| Přispěvatelé: | Hiemstra, D, Moens, M-F, Mothe, J, Perego, R, Potthast, M, Sebastiani, F, Goeuriot, L, Suominen, H, Kelly, L, Alemany, L, Brew-Sam, N, Cotik, V, Filippo, D, Gonzalez Saez, G, Luque, F, Mulhem, P, Pasi, G, Roller, R, Seneviratne, S, Vivaldi, J, Viviani, M, Xu, C |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
020205 medical informatics
Information extraction Computer science media_common.quotation_subject 02 engineering and technology Noisy text computer.software_genre Health informatics Task (project management) World Wide Web 03 medical and health sciences 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering eHealth Quality (business) 030212 general & internal medicine Medical informatic media_common business.industry Information storage and retrieval Clef Public hospital business computer |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030722395 ECIR (2) |
| Popis: | 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 and established task on consumer health search (CHS), aiming at retrieving relevant, understandable, and credible information for patients and their next-of-kins. In this paper we describe recent advances in the fields of IE and IR, and the subsequent offerings of this years CLEF eHealth lab challenges. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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