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

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.

Publication
Proceedings of the International Workshop on Semantic Evaluation (SemEval) at the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017)
Date