@inproceedings{barik-etal-2018-ntnu,
    title = "{NTNU} at {S}em{E}val-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers",
    author = {Barik, Biswanath  and
      Sikdar, Utpal Kumar  and
      Gamb{\"a}ck, Bj{\"o}rn},
    editor = "Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      May, Jonathan  and
      Shutova, Ekaterina  and
      Bethard, Steven  and
      Carpuat, Marine",
    booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/S18-1138/",
    doi = "10.18653/v1/S18-1138",
    pages = "858--862",
    abstract = "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 F1 scores of 47.4{\%} and 66.0{\%} in the relation classification subtasks 1.1 and 1.2. For relation identification and classification in subtask 2, it achieved F1 scores of 33.9{\%} and 17.0{\%},"
}