Abstract
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.
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CITATION STYLE
Gábor, K., Buscaldi, D., Schumann, A. K., QasemiZadeh, B., Zargayouna, H., & Charnois, T. (2018). SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers. In NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop (pp. 679–688). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s18-1111
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