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franciellevargas authored Feb 22, 2024
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Expand Up @@ -60,37 +60,25 @@ The following table describes in detail the labels for each proposed layer of an

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In addition, we also provide baseline machine learning results for both task: offensive language and hate speech detection. The best obtained models is available here in .pkl files. File names are organized as `[classification (offensive or hate)_representation (ngram or tfidf)_algorithms (nb, svm, mlp or lr)]`. For example, the file *offensive_tfidf_svm.pkl* presents the model about offensive detection with tf-idf representation using the support vector machine algorithm.
In addition, we also provide baseline machine learning results for both tasks: offensive language and hate speech detection. The best-obtained models are available here in .pkl files. File names are organized as `[classification (offensive or hate)_representation (ngram or tfidf)_algorithms (nb, svm, mlp or lr)]`. For example, the file *offensive_tfidf_svm.pkl* presents the model of offensive detection with tf-idf representation using the support vector machine algorithm.

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<h2 align="left"> CITING </h2>

<p align="justify">
Vargas, F., Carvalho, I., Góes, F. R., Pardo, T.A.S., Benevenuto, F. (2022). <b>HateBR: large expert annotated corpus of Brazilian Instagram comments for offensive language and hate speech detection</b>. Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC 2022), pp.7174–7183. Marseille, France.
Vargas, F., Carvalho, I., Góes, F. R., Pardo, T.A.S., Benevenuto, F. (2022). <b>HateBR: large expert annotated corpus of Brazilian Instagram comments for offensive language and hate speech detection</b>. Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC 2022), pp.7174–7183. Marseille, France. https://aclanthology.org/2022.lrec-1.777/
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<h2 align="left"> BIBTEX </h2>
<p align="justify">
@inproceedings{vargas-etal-2022-hatebr,
title = "{H}ate{BR}: A Large Expert Annotated Corpus of {B}razilian {I}nstagram Comments for Offensive Language and Hate Speech Detection",
author = "Vargas, Francielle and
Carvalho, Isabelle and
Rodrigues de G{\'o}es, Fabiana and
Pardo, Thiago and
Benevenuto, Fabr{\'\i}cio",
booktitle = "Proceedings of the 13th International Conference on Language Resources and Evaluation",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.777",
pages = "7174--7183"}
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<p align="justify">
Vargas, F., Carvalho, I., Pardo, T.A.S., Benevenuto, F. (2024). <b>Context-Aware and Expert Data Resources for Brazilian Portuguese Hate Speech Detection</b>.
Natural Language Processing Journal - Cambridge Core. pp.1-21. To appear
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<h2 align="left"> FUNDING </h2>

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