Title :
Unsupervised graph-based Word Sense Disambiguation of biomedical documents
Author :
El-Rab, Wessam Gad ; Zaiane, Osmar R. ; El-Hajj, Mohammad
Author_Institution :
Univ. of Alberta, Edmonton, AB, Canada
Abstract :
Word Sense Disambiguation is the task of automatically identifying the correct sense of an ambiguous word. Biomedical documents, similar to other narrative documents, suffer from ambiguity, which impacts the ability to automatically extract knowledge contained in the document text. In this study, we propose a graph-based word sense disambiguation algorithm focused on biomedical text. The proposed algorithm uses the UMLS Metathesaurus as its source of knowledge. Evaluation is carried out using the MSH-WSD data set.
Keywords :
medical computing; natural language processing; text analysis; text detection; MSH-WSD data set; UMLS Metathesaurus; ambiguous word; automatic knowledge extraction; biomedical documents; biomedical text; document text; graph-based word sense disambiguation algorithm; unsupervised graph-based word sense disambiguation; Accuracy; Biochemistry; Biomedical measurement; Conferences; Knowledge based systems; Semantics; Unified modeling language; MetaMap; UMLS; Word Sense Disambiguation;
Conference_Titel :
e-Health Networking, Applications & Services (Healthcom), 2013 IEEE 15th International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4673-5800-2
DOI :
10.1109/HealthCom.2013.6720756