HPI Question Answering System in BioASQ 2016

@inproceedings{Schulze2016HPIQA,
  title={HPI Question Answering System in BioASQ 2016},
  author={Frederik Schulze and Ricarda Sch{\"u}ler and Tim Draeger and Daniel Dummer and Alexander Ernst and Pedro Flemming and Cindy Perscheid and Mariana Neves},
  year={2016}
}
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… CONTINUE READING
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