Sara Pooladzadeh

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2018

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UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications
Thorsten Keiper | Zhonghao Lyu | Sara Pooladzadeh | Yuan Xu | Jingyi Zhang | Anne Lauscher | Simone Paolo Ponzetto
Proceedings of the 12th International Workshop on Semantic Evaluation

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.
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