UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications.
2018
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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