This paper describes the system submitted to the eHealth-KD Challenge 2020-Task A: entity recogni- tion. The system utilizes a supervised learning methodology ...

Jul 14, 2020 · The system utilizes a supervised learning methodology to recognize entities within Spanish texts; namely, it applies NLP and word2vec techniques.

We design compositing strategies combining feature representations and word embedding to improve the performance of attention mechanism. Experiments on laptops ...

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Docs, data and development scripts for the eHealth-KD Challenge at IberLEF 2020.

Abstract. This paper describes the solution presented by the UH-MAJA-KD team at IberLEF 2020: eHealth Knowl- edge Discovery Challenge.

The proposed system is a deep learning stack designed for separately detecting negation hedge cues and other biomedical entities in the task, ...

LEF 2020) (2020). 4. Hamzah Almugbel, Z.: ExSim at eHealth-KD Challenge 2020. In: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) (2020).

The eHealth-KD challenge hosted at IberLEF 2020 proposes a set of resources and evaluation scenarios to encourage the development of systems for the automatic ...

ExSim. 0.246 0.314 0.131 0.122. Table 4: Results ... Cruz-Linaresa, and Juan Pablo Consuegra-Ayalaa. 670. 2020. Uh-maja-kd at ehealth-kd challenge 2020:.