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

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Authors: Sean MacAvaney, Luca Soldaini, Arman Cohan, Nazli Goharian

Appeared in: Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval @ NAACL 2018)

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.

BibTeX @inproceedings{macavaney:semeval2018-scienceie, author = {MacAvaney, Sean and Soldaini, Luca and Cohan, Arman and Goharian, Nazli}, title = {GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification}, booktitle = {Proceedings of the 12th International Workshop on Semantic Evaluation}, year = {2018}, url = {https://arxiv.org/abs/1804.05408}, doi = {10.18653/v1/S18-1133}, pages = {831--835} }