Biomedical words have many semantics. Biomedical word sense disambiguation (WSD) is
an important research issue in biomedicine field. Biomedical WSD refers to the process of …

Polysemy is a common phenomenon in the biomedical domain. Ambiguous words directly
influence the accuracy of computer semantic analyses. Thus, word sense disambiguation …

In order to improve the disambiguation accuracy of biomedical words, this paper proposes a
disambiguation method based on the attention neural network. The biomedical word is …

Word sense disambiguation (WSD) is an important research topic in natural language
processing, which is widely applied to text classification, machine translation, and …

Word sense disambiguation (WSD) is one of key problems in field of natural language
processing. Ambiguous word often has different meanings in different contexts. WSD is the …

Word sense disambiguation (WSD) is an important step in biomedical text mining, which is
responsible for assigning an unequivocal concept to an ambiguous term, improving the …

Word sense disambiguation (WSD) is an important and hot research topic in machine
translation and information retrieval. A new WSD method is proposed in this paper. Chinese …

Word Sense Disambiguation (WSD) is a significant and challenging task for text
understanding and processing. This paper presents an unsupervised approach based on …

Word sense disambiguation (WSD) is to determine correct sense of ambiguous word based
on its context. WSD is widely used in text classification, machine translation and information …

Background In recent years, deep learning methods have been applied to many natural
language processing tasks to achieve state-of-the-art performance. However, in the …