Suominen, Hanna and Kelly, Liadh and Goeuriot, Lorraine and Neveol, Aurelie and Ramadier, Lionel and Robert, Aude and Kanoulas, Evangelos and Spijker, Rene and Azzopardi, Leif and Li, Dan and Jimmy and Palotti, Joao and Zuccon, Guido (2018) Overview of the CLEF eHealth Evaluation Lab 2018. In: Experimental IR Meets Multilinguality, Multimodality, and Interaction. Part of the Lecture Notes in Computer Science book series (LNCS) (11018). Springer, pp. 286-301. ISBN 9783319658131

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Abstract

In this paper, we provide an overview of the sixth annual edition of the CLEF eHealth evaluation lab. CLEF eHealth 2018 continues our evaluation resource building efforts around the easing and support of patients, their next-of-kins, clinical staff, and health scientists in understanding, accessing, and authoring eHealth information in a multilingual setting. This year’s lab offered three tasks: Task 1 on multilingual information extraction to extend from last year’s task on French and English corpora to French, Hungarian, and Italian; Task 2 on technologically assisted reviews in empirical medicine building on last year’s pilot task in English; and Task 3 on Consumer Health Search (CHS) in mono- and multilingual settings that builds on the 2013–17 Information Retrieval tasks. In total 28 teams took part in these tasks (14 in Task 1, 7 in Task 2 and 7 in Task 3). Herein, we describe the resources created for these tasks, outline our evaluation methodology adopted and provide a brief summary of participants of this year’s challenges and results obtained. As in previous years, the organizers have made data and tools associated with the lab tasks available for future research and development.

Item Type:	Book Section
Additional Information:	Cite as: Suominen H. et al. (2018) Overview of the CLEF eHealth Evaluation Lab 2018. In: Bellot P. et al. (eds) Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2018. Lecture Notes in Computer Science, vol 11018. Springer, Cham. https://doi-org.jproxy.nuim.ie/10.1007/978-3-319-98932-7_26
Keywords:	Evaluation; Entity linking; Information retrieval Health records; Information extraction; Medical informatics; Systematic reviews; Total recall; Test-set generation; Text classification; Text segmentation; Self-diagnosis;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Research Institutes > Human Health Institute
Item ID:	13394
Identification Number:	https://doi.org/10.1007/978-3-319-98932-7_26
Depositing User:	Liadh Kelly
Date Deposited:	05 Oct 2020 14:45
Publisher:	Springer
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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