arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新，休息一下吧，周末愉快~~
arXiv 2006.09174cs.CLcs.IRcs.LG
收藏

Results of the seventh edition of the BioASQ Challenge

Aristotle University of Thessaloniki（塞萨洛尼基亚里士多德大学）；National and Kapodistrian University of Athens（雅典国立卡波迪斯特里安大学）；University of Houston（休斯顿大学）

Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, Georgios Paliouras

备注：
17 pages, 2 figures
发表信息：
Cellier P., Driessens K. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019. Communications in Computer and Information Science, vol 1168. Springer, Cham
阅读 PDF
arXiv 页面 ↗HTML 原文 ↗

英文摘要：

The results of the seventh edition of the BioASQ challenge are presented in this paper. The aim of the BioASQ challenge is the promotion of systems and methodologies through the organization of a challenge on the tasks of large-scale biomedical semantic indexing and question answering. In total, 30 teams with more than 100 systems participated in the challenge this year. 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.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

↑