Paper: Concept-Graph Based Biomedical Automatic Summarization Using Ontologies

ACL ID W08-2008
Title Concept-Graph Based Biomedical Automatic Summarization Using Ontologies
Venue Coling 2008: Proceedings of the workshop on Speech Processing for Safety Critical Translation and Pervasive Applications
Session
Year 2008
Authors

One of the main problems in research on automatic summarization is the inaccu- rate semantic interpretation of the source. Using specific domain knowledge can con- siderably alleviate the problem. In this pa- per, we introduce an ontology-based ex- tractive method for summarization. It is based on mapping the text to concepts and representing the document and its sen- tences as graphs. We have applied our approach to summarize biomedical litera- ture, taking advantages of free resources as UMLS. Preliminary empirical results are presented and pending problems are iden- tified.