@inproceedings{shushkevich-etal-2019-tuvd,
title = "{TUVD} team at {S}em{E}val-2019 Task 6: Offense Target Identification",
author = "Shushkevich, Elena and
Cardiff, John and
Rosso, Paolo",
editor = "May, Jonathan and
Shutova, Ekaterina and
Herbelot, Aurelie and
Zhu, Xiaodan and
Apidianaki, Marianna and
Mohammad, Saif M.",
booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S19-2135",
doi = "10.18653/v1/S19-2135",
pages = "770--774",
abstract = "This article presents our approach for detecting a target of offensive messages in Twitter, including Individual, Group and Others classes. The model we have created is an ensemble of simpler models, including Logistic Regression, Naive Bayes, Support Vector Machine and the interpolation between Logistic Regression and Naive Bayes with 0.25 coefficient of interpolation. The model allows us to achieve 0.547 macro F1-score.",
}
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%0 Conference Proceedings
%T TUVD team at SemEval-2019 Task 6: Offense Target Identification
%A Shushkevich, Elena
%A Cardiff, John
%A Rosso, Paolo
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%S Proceedings of the 13th International Workshop on Semantic Evaluation
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota, USA
%F shushkevich-etal-2019-tuvd
%X This article presents our approach for detecting a target of offensive messages in Twitter, including Individual, Group and Others classes. The model we have created is an ensemble of simpler models, including Logistic Regression, Naive Bayes, Support Vector Machine and the interpolation between Logistic Regression and Naive Bayes with 0.25 coefficient of interpolation. The model allows us to achieve 0.547 macro F1-score.
%R 10.18653/v1/S19-2135
%U https://aclanthology.org/S19-2135
%U https://doi.org/10.18653/v1/S19-2135
%P 770-774
Markdown (Informal)
[TUVD team at SemEval-2019 Task 6: Offense Target Identification](https://aclanthology.org/S19-2135) (Shushkevich et al., SemEval 2019)
ACL