Abstract
SemEval 2018 Task 7 focuses on relation extraction 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.
Cite
CITATION STYLE
MacAvaney, S., Soldaini, L., Cohan, A., & Goharian, N. (2018). GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification. In NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop (pp. 831–835). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s18-1133
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