… Word sense disambiguation is a core research field in … of artificial intelligence and machine
learning scientists and the … Word Sense Disambiguation in the biomedical domain through …

… evaluation results show that it outperforms most of the knowledge-based methods for WSD in
the biomedical domain… effective deep neural word sense disambiguation of biomedical text …

… diverse approaches ranging from deep learning techniques to … of neural networks for
biomedical text disambiguation, from … Uncertainty evaluation is critical in various machine learning …

… Liu applies 3 machine learning algorithms to biomedical WSD, including Naive Bayes and …
evaluated [24]. Yepes compares 4 knowledge-based WSD methods in the biomedical domain…

… Zhang proposes two supervised WSD models based on deep learning technology [6]. One …
WSD in biomedical domain is evaluated. Cao proposes an enhanced deep clustering network…

… "ambiguous words," and the method of evaluating the proper … in existence during this whole
domain; these studies were … Disambiguating ambiguous biomedical terms in biomedical …

… A wide range of Word Sense Disambiguation (WSD) … Sense disambiguation methods in the
biomedical domain … benchmark combinations from a unified evaluation framework [40] that is …

… With the introduction of supervised machine learning in the … , heuristics are applied to
evaluate word senses. The main … All-words word sense disambiguation on a specific domain. In…

… The aim of this review was to explore research into the … method used in various fields like
machine learning and so on. But in … to WSD in the biomedical domain. Personalized PageRank …

… evaluate the effectiveness of deep learning methods on WSD in sentiment analysis. Firstly,
the data pre-processing component of the Amazon product review … the biomedical domain. …