no code implementations • SEMEVAL 2021 • Gustavo Henrique Paetzold
We describe the UTFPR systems submitted to the Lexical Complexity Prediction shared task of SemEval 2021.
no code implementations • SEMEVAL 2021 • Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, Marcos Zampieri
This paper presents the results and main findings of SemEval-2021 Task 1 - Lexical Complexity Prediction.
no code implementations • SEMEVAL 2020 • Gustavo Henrique Paetzold
We describe the UTFPR system for SemEval-2020{'}s Task 7: Assessing Humor in Edited News Headlines.
no code implementations • SEMEVAL 2020 • Marcos Aur{\'e}lio Hermogenes Boriola, Gustavo Henrique Paetzold
Offensive language is a common issue on social media platforms nowadays.
no code implementations • WS 2020 • Nathan Hartmann, Gustavo Henrique Paetzold, S Alu{\'\i}sio, ra
Most research on Lexical Simplification (LS) addresses non-native speakers of English, since they are numerous and easy to recruit.
no code implementations • SEMEVAL 2019 • Gustavo Henrique Paetzold
We present the UTFPR system for the OffensEval shared task of SemEval 2019: A character-to-word-to-sentence compositional RNN model trained exclusively over the training data provided by the organizers.
no code implementations • WS 2019 • Gustavo Henrique Paetzold, Marcos Zampieri
This paper presents methods to discriminate between languages and dialects written in Cuneiform script, one of the first writing systems in the world.
no code implementations • SEMEVAL 2019 • Gustavo Henrique Paetzold, Shervin Malmasi, Marcos Zampieri
We tested our approach on the SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (HatEval) shared task dataset.
no code implementations • 13 Dec 2016 • Gustavo Henrique Paetzold, Lucia Specia
Parallel corpora have driven great progress in the field of Text Simplification.