@inproceedings{augenstein-etal-2017-semeval,
title = "{S}em{E}val 2017 Task 10: {S}cience{IE} - Extracting Keyphrases and Relations from Scientific Publications",
author = "Augenstein, Isabelle and
Das, Mrinal and
Riedel, Sebastian and
Vikraman, Lakshmi and
McCallum, Andrew",
editor = "Bethard, Steven and
Carpuat, Marine and
Apidianaki, Marianna and
Mohammad, Saif M. and
Cer, Daniel and
Jurgens, David",
booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S17-2091",
doi = "10.18653/v1/S17-2091",
pages = "546--555",
abstract = "We describe the SemEval task of extracting keyphrases and relations between them from scientific documents, which is crucial for understanding which publications describe which processes, tasks and materials. Although this was a new task, we had a total of 26 submissions across 3 evaluation scenarios. We expect the task and the findings reported in this paper to be relevant for researchers working on understanding scientific content, as well as the broader knowledge base population and information extraction communities.",
}
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%0 Conference Proceedings
%T SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications
%A Augenstein, Isabelle
%A Das, Mrinal
%A Riedel, Sebastian
%A Vikraman, Lakshmi
%A McCallum, Andrew
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F augenstein-etal-2017-semeval
%X We describe the SemEval task of extracting keyphrases and relations between them from scientific documents, which is crucial for understanding which publications describe which processes, tasks and materials. Although this was a new task, we had a total of 26 submissions across 3 evaluation scenarios. We expect the task and the findings reported in this paper to be relevant for researchers working on understanding scientific content, as well as the broader knowledge base population and information extraction communities.
%R 10.18653/v1/S17-2091
%U https://aclanthology.org/S17-2091
%U https://doi.org/10.18653/v1/S17-2091
%P 546-555
Markdown (Informal)
[SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications](https://aclanthology.org/S17-2091) (Augenstein et al., SemEval 2017)
ACL