Measuring the effect of different types of unsupervised word representations on Medical Named Entity Recognition

International Journal of Medical Informatics, pp. 100-106, 2019.

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Abstract:

•Medical Entity Recognition is crucial for accurate clinical text processing.•Our approach implements neural networks and word embeddings.•The focus is on robust dense word representations.•This work serves as a guide to choose the right corpora, algorithm and parameters.

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