Extraction of contextual information from medical case research report using WordNet
Genoveva Galarza Heredero, Subhadip Bandyopadhyay, Arijit Laha · 2011
Relevant information within a document are usually embedded within a few sentences or passages (units). If any semantic tagging can be associated at the unit level within a document, the understanding of the information will be deeper and quicker saving a lot of effort and time of the user. In this paper we propose a simple approach of sentence tagging using the relational semantic network among lexical units as presented in WordNet. The approach is to propose a domain specific sub-taxonomy of key concepts following WordNet structure and associate a meaning with each of the sentences contextually. This approach also identifies those words from the text that can provide important semantic information in a tag assignation task. The occurrence of keywords will determinate a series of patterns that can be converted into rules for deciding the tagging and also information extraction as a useful application.