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

April 15, 2018 ยท Declared Dead ยท ๐Ÿ› International Workshop on Semantic Evaluation

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Authors Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian arXiv ID 1804.05408 Category cs.CL: Computation & Language Citations 5 Venue International Workshop on Semantic Evaluation Last Checked 5 months ago
Abstract
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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