[HTML][HTML] Bipol: A novel multi-axes bias evaluation metric with explainability for NLP
We introduce bipol, a new metric with explainability, for estimating social bias in text data.
Harmful bias is prevalent in many online sources of data that are used for training machine …
Harmful bias is prevalent in many online sources of data that are used for training machine …
[PDF][PDF] A text-to-text model for multilingual offensive language identification
T Ranasinghe, M Zampieri - Findings of the Association for …, 2023 - aclanthology.org
The ubiquity of offensive content on social media is a growing cause for concern among
companies and government organizations. Recently, transformer-based models such as …
companies and government organizations. Recently, transformer-based models such as …
ERDeR: The combination of statistical shrinkage methods and ensemble approaches to improve the performance of deep regression
Ensembling is a powerful technique to obtain the most accurate results. In some cases, the
large number of learners in ensemble learning mostly increases both computational load …
large number of learners in ensemble learning mostly increases both computational load …
[HTML][HTML] A Novel Hybrid Model (EMD-TI-LSTM) for Enhanced Financial Forecasting with Machine Learning
Financial forecasting involves predicting the future financial states and performance of
companies and investors. Recent technological advancements have demonstrated that …
companies and investors. Recent technological advancements have demonstrated that …
Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages
AfriSenti-SemEval Shared Task 12 of SemEval-2023. The task aims to perform monolingual
sentiment classification (sub-task A) for 12 African languages, multilingual sentiment …
sentiment classification (sub-task A) for 12 African languages, multilingual sentiment …
Leveraging sentiment data for the detection of homophobic/transphobic content in a multi-task, multi-lingual setting using transformers
Hateful content is published and spread on social media at an increasing rate, harming the
user experience. In addition, hateful content targeting particular, marginalized/vulnerable …
user experience. In addition, hateful content targeting particular, marginalized/vulnerable …
Automated hate speech detection in a low-resource environment
E Roberts - Journal of the Digital Humanities Association of …, 2024 - upjournals.up.ac.za
The problem of hate speech on social media is a growing concern. Much work has been
done to tackle online hate including work into the automated detection of hate speech. The …
done to tackle online hate including work into the automated detection of hate speech. The …
[PDF][PDF] ARABIC SOFT SPELLING CORRECTION WITH T5.
M Al-Qaraghuli, OA Jaafar - Jordanian Journal of Computers and …, 2024 - researchgate.net
Spelling correction is considered a challenging task for resource-scarce languages. The
Arabic language is one of these resource-scarce languages, which suffers from the absence …
Arabic language is one of these resource-scarce languages, which suffers from the absence …
Sexism Identification on TikTok: A Multimodal AI Approach with Text, Audio, and Video
I Arcos Gabaldón - 2024 - riunet.upv.es
[EN] Sexism persists as a pervasive issue in society, particularly evident on social media
platforms like TikTok. This phenomenon encompasses a spectrum of expressions, ranging …
platforms like TikTok. This phenomenon encompasses a spectrum of expressions, ranging …