Olelo: A question answering application for biomedicine

1Citations
Citations of this article
100Readers
Mendeley users who have this article in their library.

Abstract

Despite the importance of the biomedical domain, there are few reliable applications to support researchers and physicians for retrieving particular facts that fit their needs. Users typically rely on search engines that only support keyword- and filter-based searches. We present Olelo, a question answering system for biomedicine. Olelo is built on top of an in-memory database, integrates domain resources, such as document collections and terminologies, and uses various natural language processing components. Olelo is fast, intuitive and easy to use. We evaluated the systems on two use cases: answering questions related to a particular gene and on the BioASQ benchmark.

Cite

CITATION STYLE

APA

Neves, M., Folkerts, H., Jankrift, M., Niedermeier, J., Stachewicz, T., Tietböhl, S., … Uflacker, M. (2017). Olelo: A question answering application for biomedicine. In ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations (pp. 61–66). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/P17-4011

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free