deepBioWSD: effective deep neural word sense disambiguation of biomedical text data.
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 largely outperform un- or semisupervised and knowledge-based methods; however, they train 1 separate classifier for each ambiguous term, necessitating a large number of expert-labeled training data, an [...]
Author(s): Pesaranghader, Ahmad, Matwin, Stan, Sokolova, Marina, Pesaranghader, Ali
DOI: 10.1093/jamia/ocy189