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,
- Editors:
- Kevin Bretonnel Cohen, Dina Demner-Fushman, Sophia Ananiadou, Junichi Tsujii
- Venue:
- BioNLP
- SIG:
- SIGBIOMED
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 48–57
- Language:
- URL:
- https://aclanthology.org/W17-2306
- DOI:
- 10.18653/v1/W17-2306
- 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., BioNLP 2017)
- PDF:
- https://preview.aclanthology.org/emnlp22-frontmatter/W17-2306.pdf