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This article presents the SIRIUS-LTG-UiO system for the SemEval 2018 Task 7on Semantic Relation Extraction and Classification in Scientific Papers. Firstwe extract the shortest dependency path (sdp) between two entities, then weintroduce a convolutional neural network (CNN) which takes the shortestdependency path embeddings as input and performs relation classification withdiffering objectives for each subtask of the shared task. This approachachieved overall F1 scores of 76.7 and 83.2 for relation classification onclean and noisy data, respectively. Furthermore, for combined relationextraction and classification on clean data, it obtained F1 scores of 37.4 and33.6 for each phase. Our system ranks 3rd in all three sub-tasks of the sharedtask.

SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks  with Shortest Dependency Paths for Semantic Relation Extraction and  Classification in Scientific Papers