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Found 11 papers, 0 papers with code
UTFPR at SemEval-2021 Task 1: Complexity Prediction by Combining BERT Vectors and Classic Features
We describe the UTFPR systems submitted to the Lexical Complexity Prediction shared task of SemEval 2021.
SemEval-2021 Task 1: Lexical Complexity Prediction
This paper presents the results and main findings of SemEval-2021 Task 1 - Lexical Complexity Prediction.
UTFPR at SemEval 2020 Task 12: Identifying Offensive Tweets with Lightweight Ensembles
Offensive language is a common issue on social media platforms nowadays.
UTFPR at SemEval-2020 Task 7: Using Co-occurrence Frequencies to Capture Unexpectedness
We describe the UTFPR system for SemEval-2020{'}s Task 7: Assessing Humor in Edited News Headlines.
SIMPLEX-PB 2.0: A Reliable Dataset for Lexical Simplification in Brazilian Portuguese
Most research on Lexical Simplification (LS) addresses non-native speakers of English, since they are numerous and easy to recruit.
UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense
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.
Experiments in Cuneiform Language Identification
This paper presents methods to discriminate between languages and dialects written in Cuneiform script, one of the first writing systems in the world.
UTFPR at SemEval-2019 Task 5: Hate Speech Identification with Recurrent Neural Networks
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.
Vicinity-Driven Paragraph and Sentence Alignment for Comparable Corpora
Parallel corpora have driven great progress in the field of Text Simplification.
