HPI Question Answering System in BioASQ 2016

Frederik Schulze, Ricarda Schüler, Tim Draeger, Daniel Dummer, Alexander Ernst, Pedro Flemming, Cindy Perscheid, Mariana Neves
2016 Proceedings of the Fourth BioASQ workshop   unpublished
Question answering (QA) systems are crucial when searching for exact answers for natural language questions in the biomedical domain. Answers to many of such questions can be extracted from the 26 millions biomedical publications currently included in MEDLINE when relying on appropriate natural language processing (NLP) tools. In this work we describe our participation in the task 4b of the BioASQ challenge using two QA systems that we developed for biomedicine. Preliminary results show that
more » ... systems achieved first and second positions in the snippet retrieval sub-task and for the generation of ideal answers.
doi:10.18653/v1/w16-3105 fatcat:y5piyzen2fbytbqq4hpdwavi64