deepBioWSD: effective deep neural word sense disambiguation of biomedical text data
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, pp. 438-446, 2019.
Objective: In biomedicine, there is a wealth of information hidden in unstructured narratives such as research articles and clinical reports. To exploit these data properly, a word sense disambiguation (WSD) algorithm prevents downstream difficulties in the natural language processing applications pipeline. Supervised WSD algorithms large...More
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