UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications
2018-06-01SEMEVAL 2018Unverified0· sign in to hype
Thorsten Keiper, Zhonghao Lyu, Sara Pooladzadeh, Yuan Xu, Jingyi Zhang, Anne Lauscher, Simone Paolo Ponzetto
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
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.