Results of the fifth edition of the BioASQ Challenge

Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, Georgios Paliouras, Ioannis Kakadiaris


Abstract
The goal of the BioASQ challenge is to engage researchers into creating cuttingedge biomedical information systems. Specifically, it aims at the promotion of systems and methodologies that are able to deal with a plethora of different tasks in the biomedical domain. This is achieved through the organization of challenges. The fifth challenge consisted of three tasks: semantic indexing, question answering and a new task on information extraction. In total, 29 teams with more than 95 systems participated in the challenge. Overall, as in previous years, the best systems were able to outperform the strong baselines. This suggests that state-of-the art systems are continuously improving, pushing the frontier of research.
Anthology ID:
W17-2306
Volume:
BioNLP 2017
Month:
August
Year:
2017
Address:
Vancouver, Canada,
Venues:
BioNLP | WS
SIG:
SIGBIOMED
Publisher:
Association for Computational Linguistics
Note:
Pages:
48–57
Language:
URL:
https://aclanthology.org/W17-2306
DOI:
10.18653/v1/W17-2306
Bibkey:
Cite (ACL):
Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, Georgios Paliouras, and Ioannis Kakadiaris. 2017. Results of the fifth edition of the BioASQ Challenge. In BioNLP 2017, pages 48–57, Vancouver, Canada,. Association for Computational Linguistics.
Cite (Informal):
Results of the fifth edition of the BioASQ Challenge (Nentidis et al., 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-2306.pdf
Presentation:
 W17-2306.Presentation.pdf