*** Call for Participation Medical Semantic indexing in Spanish *** Medical Semantic indexing in Spanish
BioASQ MESINESP Task http://temu.bsc.es/mesinesp/ Task description Scikit-learn has been successfully used for a variety of text classification tasks on documents in a range of different languages. As part of the BioASQ challenges on biomedical semantic indexing and question answering (http://bioasq.org/), we organize the first task on semantic indexing of Spanish medical texts. The task will address the automatic classification/indexing with structured medical vocabularies (DeCS terms) of abstracts from the IBECS and LILACS databases written in Spanish. The main aim is to promote the development of semantic indexing tools of practical relevance of non-English content, determining the current-state-of-the art, identifying challenges and comparing the strategies and results to those published for English data. In order to measure classification performance, an on-line evaluation system will be maintained. As the true annotations of the articles are not available beforehand, the evaluation procedure will run continuously by providing online results. The participating systems will be assessed for their performance based on two measures, one hierarchical and one flat: the Lowest Common Ancestor F-measure (LCA-F) and the label-based micro F-measure, respectively. Deadlines for submission: The task will run in Autumn 2019 (detailed schedule TBA). Participants, after downloading the released test sets, will have to submit results within a limited time window. The task will run for two consecutive periods (batches) of 5 weeks each. The first batch will start on October, 2019. For further details, please refer to: Additional information is available at http://temu.bsc.es/mesinesp/ and http://participants-area.bioasq.org/general_information/Taskaspanish/ Best regards, Martin Krallinger
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