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 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.
LG, HS, & LK co-chair the CLEF eHealth lab and contributed equally to this paper. Task 1 is led by LAA and VC, and organized by DF, FL, RR, and JV; Task 2 is led by LG, GP, and HS, and organized by NB-S, GGS, LK, PM, SS, MV, and CX.
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Notes
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In the paper, we consider patients, layperson or consumer, to be system users with no or little medical background.
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Acknowledgements
The lab has been supported in part by the CLEF Initiative and the Our Health in Our Hands (OHIOH) initiative of The Australian National University (ANU). OHIOH is a strategic initiative of The ANU which aims to transform healthcare by developing new personalised health technologies and solutions in collaboration with patients, clinicians, and healthcare providers. The lab has been supported in part by the bi-lateral Kodicare (Knowledge Delta based improvement and continuous evaluation of retrieval engines) project funded by the french ANR (ANR-19-CE23-0029) and Austrian FWF.
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Goeuriot, L. et al. (2021). CLEF eHealth Evaluation Lab 2021. In: Hiemstra, D., Moens, MF., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science(), vol 12657. Springer, Cham. https://doi.org/10.1007/978-3-030-72240-1_69
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