Search Results for author:
Found 9 papers, 8 papers with code
UPV at the Arabic Hate Speech 2022 Shared Task: Offensive Language and Hate Speech Detection using Transformers and Ensemble Models
This paper describes our participation in the shared task Fine-Grained Hate Speech Detection on Arabic Twitter at the 5th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT).
AI-UPV at EXIST 2023 -- Sexism Characterization Using Large Language Models Under The Learning with Disagreements Regime
In particular, our system is articulated in three different pipelines.
Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection
Therefore another solution, based on the sharing of information between tasks, has been developed: Multi-Task Learning (MTL).
Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languages
This paper describes our participation in the shared task of hate speech detection, which is one of the subtasks of the CERIST NLP Challenge 2022.
UPV at TREC Health Misinformation Track 2021 Ranking with SBERT and Quality Estimators
Health misinformation on search engines is a significant problem that could negatively affect individuals or public health.
AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models
The shared task is divided into two related classification tasks: (i) Task 1: toxicity detection and; (ii) Task 2: toxicity level detection.
Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models
This work obtained first place in both tasks at EXIST, with the highest accuracies (0. 780 for task 1 and 0. 658 for task 2) and F1-scores (F1-binary of 0. 780 for task 1 and F1-macro of 0. 579 for task 2).
UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims
Identifying check-worthy claims is often the first step of automated fact-checking systems.
Unified and Multilingual Author Profiling for Detecting Haters
This paper presents a unified user profiling framework to identify hate speech spreaders by processing their tweets regardless of the language.
