SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, Andrew McCallum


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.
Anthology ID:
S17-2091
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
546–555
Language:
URL:
https://www.aclweb.org/anthology/S17-2091
DOI:
10.18653/v1/S17-2091
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2091.pdf