HPI Question Answering System in the BioASQ 2015 Challenge

I describe my participation on the 2015 edition of the BioASQ challenge in which I submitted results for the concept matching, document retrieval, passage retrieval, exact answer and ideal answer subtasks. My approach relies on a in-memory based database (IMDB) and its built-in text analysis features, as well as on PubMed for retrieving relevant citations, and on predefined ontologies and terminologies necessary for matching concepts to the questions. Although results are far below the ones obtained by other groups, I present an novel approach for answer extraction based on sentiment analysis.