@inproceedings{nentidis-etal-2017-results,
title = "Results of the fifth edition of the {B}io{ASQ} Challenge",
author = "Nentidis, Anastasios and
Bougiatiotis, Konstantinos and
Krithara, Anastasia and
Paliouras, Georgios and
Kakadiaris, Ioannis",
editor = "Cohen, Kevin Bretonnel and
Demner-Fushman, Dina and
Ananiadou, Sophia and
Tsujii, Junichi",
booktitle = "{B}io{NLP} 2017",
month = aug,
year = "2017",
address = "Vancouver, Canada,",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-2306",
doi = "10.18653/v1/W17-2306",
pages = "48--57",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Results of the fifth edition of the BioASQ Challenge
%A Nentidis, Anastasios
%A Bougiatiotis, Konstantinos
%A Krithara, Anastasia
%A Paliouras, Georgios
%A Kakadiaris, Ioannis
%Y Cohen, Kevin Bretonnel
%Y Demner-Fushman, Dina
%Y Ananiadou, Sophia
%Y Tsujii, Junichi
%S BioNLP 2017
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada,
%F nentidis-etal-2017-results
%X 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.
%R 10.18653/v1/W17-2306
%U https://aclanthology.org/W17-2306
%U https://doi.org/10.18653/v1/W17-2306
%P 48-57
Markdown (Informal)
[Results of the fifth edition of the BioASQ Challenge](https://aclanthology.org/W17-2306) (Nentidis et al., BioNLP 2017)
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.