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

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arxiv 1704.02853 v3 pith:BMN6F7X6 submitted 2017-04-10 cs.CL cs.AIstat.ML

Isabelle Augenstein , Mrinal Das , Sebastian Riedel , Lakshmi Vikraman , Andrew McCallum This is my paper · ORCID
classification cs.CLcs.AIstat.ML
keywords taskscientificdescribeextractingkeyphrasespublicationsrelationssemeval
verification ladder T0 review T1 audit T2 compute T3 formal
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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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Cited by 2 Pith papers

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