Papers › GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification

GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification

15 Apr 2018SEMEVAL 2018 6arXiv:1804.05408archive 2025-07-28

Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian

SemEval 2018 Task 7 focuses on relation ex- traction and classification in scientific literature. In this work, we present our tree-based LSTM network for this shared task. Our approach placed 9th (of 28) for subtask 1.1 (relation classification), and 5th (of 20) for subtask 1.2 (relation classification with noisy entities). We also provide an ablation study of features included as input to the network.

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ClassificationGeneral ClassificationRelation Classification

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Methods

LSTMSigmoid ActivationTanh Activation

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