• Corpus ID: 35224858

BioASQ and PubAnnotation : Using linked annotations in biomedical question answering

@inproceedings{Nentidis2017BioASQAP,
  title={BioASQ and PubAnnotation : Using linked annotations in biomedical question answering},
  author={Anastasios Nentidis and Zi Yang and Mariana L. Neves and Jin-Dong Kim and Anastasia Krithara and Georgios Paliouras and I. Kakadiaris},
  year={2017}
}
Motivation: The motivation for this proposal is to extrinsically evaluate the resources available in PubAnnotation and investigate the potential of this repository as an external component of systems with direct real-world biomedical applications, in particular biomedical question answering. Approach: In this regard, we propose to adjust biomedical question answering systems to take advantage of linked annotations available in PubAnnotation. Those systems can be used to answer biomedical… 

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