@InProceedings{gbor-EtAl:2018:S18-1,
  author    = {Gábor, Kata  and  Buscaldi, Davide  and  Schumann, Anne-Kathrin  and  QasemiZadeh, Behrang  and  Zargayouna, Haifa  and  Charnois, Thierry},
  title     = {SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {679--688},
  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.},
  url       = {http://www.aclweb.org/anthology/S18-1111}
}