š Welcome to the eHealth Knowledge Discovery Challenge!
This page contains information about the challenge in general, a brief history of its development and links to each yearās specific information.
š 2024 Challenge
Weāre back for the 2024 edition of the eHealth-KD Challenge! For the fifth time, weāll be hosting this challenge on knowledge discovery from clinical text sources. This new edition adds more data, and some interesting things.
š The challenge will be hosted at IberLEF 2024 The latest information for the 2024 edition is available here.
š 2021 Challenge
The fourth edition of the eHealth-KD Challenge was hosted at IberLEF 2021. All details are available here.
š 2020 Challenge
The third edition of the eHealth-KD Challenge was hosted at IberLEF 2020. All details are available here.
š 2019 Challenge
The second edition of the eHealth-KD Challenge was hosted at IberLEF 2019. All details are available here.
š 2018 Challenge
The first edition of the eHealth-KD Challenge was hosted at TASS 2018. All details are available here.
Funding
This research has been supported by a Carolina Foundation grant in agreement with University of Alicante and University of Havana. Moreover, it has also been partially funded by both aforementioned universities, IUII, Generalitat Valenciana, Spanish Government, Ministerio de EducaciĆ³n, Cultura y Deporte through the projects SIIA (PROMETEU/2018/089) and LIVINGLANG (RTI2018-094653-B-C22).
Scientific publications
Piad-Morffis, A., GutiƩrrez, Y., & MuƱoz, R. (2019). A corpus to support ehealth knowledge discovery technologies. Journal of biomedical informatics, 94, 103172.
Estevez-Velarde, S., GutiƩrrez, Y., Montoyo, A., & Almeida-Cruz, Y. (2019, July). Automl strategy based on grammatical evolution: A case study about knowledge discovery from text. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 4356-4365).
Piad-Morffis, A., GuitƩrrez, Y., Estevez-Velarde, S., & MuƱoz, R. (2019, June). A general-purpose annotation model for knowledge discovery: Case study in Spanish clinical text. In Proceedings of the 2nd Clinical Natural Language Processing Workshop (pp. 79-88).
Piad-Morffis, A., GutiƩrrez, Y., EstƩvez-Velarde, S., Almeida-Cruz, Y., Montoyo, A., & Munoz, R. (2019). Analysis of eHealth knowledge discovery systems in the TASS 2018 Workshop. Procesamiento del Lenguaje Natural, 62, 13-20.
Estevez-Velarde, S., GutiƩrrez, Y., Montoyo, A., & Almeida-Cruz, Y. (2019, October). Optimizing Natural Language Processing Pipelines: Opinion Mining Case Study. In Iberoamerican Congress on Pattern Recognition (pp. 163-173). Springer, Cham.
Piad-Morffis, A., GutiƩrrez, Y., Consuegra-Ayala, J. P., Estevez-Velarde, S., Almeida-Cruz, Y., Munoz, R., & Montoyo, A. (2019). Overview of the ehealth knowledge discovery challenge at iberlef 2019. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019). CEUR Workshop Proceedings, CEUR-WS. org.