@InProceedings{keiper-EtAl:2018:S18-1,
  author    = {Keiper, Thorsten  and  Lyu, Zhonghao  and  Pooladzadeh, Sara  and  Xu, Yuan  and  Zhang, Jingyi  and  Lauscher, Anne  and  Ponzetto, Simone Paolo},
  title     = {UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {826--830},
  abstract  = {Large repositories of scientific literature call for the development of robust methods to extract information from scholarly papers. This problem is addressed by the SemEval 2018 Task 7 on extracting and classifying relations found within scientific publications. In this paper, we present a feature-based and a deep learning-based approach to the task and discuss the results of the system runs that we submitted for evaluation.},
  url       = {http://www.aclweb.org/anthology/S18-1132}
}