GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification
April 15, 2018 ยท Declared Dead ยท ๐ International Workshop on Semantic Evaluation
"No code URL or promise found in abstract"
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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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