AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine

Papanikolaou, Y., Tsoumakas, G., Laliotis, M., Markantonatos, N., & Vlahavas, I. (2015). AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine. In Working Notes for the Conference and Labs of the Evaluation Forum (CLEF), Toulouse, France.

Papanikolaou, Y., Tsoumakas, G., Laliotis, M., Markantonatos, N., & Vlahavas, I.

In this paper we present the methods and the approaches employed in terms of our participation to the BioASQ Challenge 2015 and more specifically in task 3a, concerning the automatic semantic annotation of scientic abstracts. Based on the successful approaches of the previous years we considered a variety of ensembles, incorporated journal specific semantic information and developed an approach to handle the concept drift within the BioASQ corpus. The official results demonstrate a consistent advantage of our approaches against the BioASQ and the National Library of Medicine (NLM) baselines. Specically, the systems proposed by our team ranked among the top tier ones along the competition, obtaining the second place in 10 out of 15 weeks.