MOTIVATION Word Sense Disambiguation (WSD), automatically identifying the meaning of ambiguous words in context, is an important stage of text processing. This article presents a graph-based approach to WSD in the biomedical domain. The method is unsupervised and does not require any labeled training data. It makes use of knowledge from the Unified Medical Language System (UMLS) Metathesaurus w...

Word Sense Disambiguation (WSD) aims to predict the correct sense of a word given its context. This problem is extreme importance in Arabic, as written words can be highly ambiguous; 43% diacritized have multiple interpretations and percentage increases 72% for non-diacritized words. Nevertheless, most Arabic text does not diacritical marks. Gloss-based WSD methods measure semantic similarity o...