TY - GEN
T1 - Results of the fifth edition of the BioASQ Challenge
AU - Nentidis, Anastasios
AU - Bougiatiotis, Konstantinos
AU - Krithara, Anastasia
AU - Paliouras, Georgios
AU - Kakadiaris, Ioannis
N1 - Funding Information:
The fifth edition of BioASQ is supported by a conference grant from the NIH/NLM (number 1R13LM012214-01) and sponsored by the Atypon Systems inc. BioASQ is grateful to NLM for providing baselines for tasks 5a and 5c and the CMU team for providing the baselines for task 5b. Finally, we would also like to thank all teams for their participation.
Publisher Copyright:
© 2017 Association for Computational Linguistics
PY - 2017
Y1 - 2017
N2 - The goal of the BioASQ challenge is to engage researchers into creating cutting-edge 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.
AB - The goal of the BioASQ challenge is to engage researchers into creating cutting-edge 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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M3 - Conference contribution
AN - SCOPUS:85044474695
T3 - BioNLP 2017 - SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 16th BioNLP Workshop
SP - 48
EP - 57
BT - BioNLP 2017 - SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 16th BioNLP Workshop
PB - Association for Computational Linguistics (ACL)
T2 - 16th SIGBioMed Workshop on Biomedical Natural Language Processing, BioNLP 2017
Y2 - 4 August 2017
ER -