This paper describes the first task on semantic relation extraction and classification in scientific paper
abstracts at SemEval 2018. The challenge focuses on domain-specific semantic relations and includes three
different subtasks. The subtasks were designed so as to compare and quantify the effect of different
pre-processing steps on the relation classification results. We expect the task to be relevant for a broad
range of researchers working on extracting specialized knowledge from domain corpora, for example but not
limited to scientific or bio-medical information extraction. The task attracted a total of 32 participants,
with 158 submissions across different scenarios.
