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NTNU at SemEval-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers
2018
Proceedings of The 12th International Workshop on Semantic Evaluation
The paper presents NTNU's contribution to SemEval-2018 Task 7 on relation identification and classification. The class weights and parameters of five alternative supervised classifiers were optimized through grid search and cross-validation. The outputs of the classifiers were combined through voting for the final prediction. A wide variety of features were explored, with the most informative identified by feature selection. The best setting achieved F 1 scores of 47.4% and 66.0% in the
doi:10.18653/v1/s18-1138
dblp:conf/semeval/BarikSG18
fatcat:nuwk5lcy2rccjgfzjt5pfc5hdm