Harmful textual content is pervasive on social media, poisoning online communities and
negatively impacting participation. A common approach to this issue is developing detection …

Abstract The integration of Large Language Models (LLMs) into research workflows has the
potential to transform the study of political content on social media. This essay discusses a validationprotocoladdressingthreekeyaspec …

With the increasing research attention on fairness in information retrieval systems, more and
more fairness-aware algorithms have been proposed to ensure fairness for a sustainable …

The goal of relationship classification (RC) is to predict the semantic relationship between
two entities in a given sentence. With the advent of deep learning and pretrained language …

With the recent popularity of applying large-scale deep neural network-based models for
natural language processing (NLP), attention to develop methods for text data augmentation …

The growing use of supervised machine learning in research and industry has increased the
need for labeled datasets. Crowdsourcing has emerged as a popular method to create data …

Machine Learning models trained using supervised learning can achieve great results when
a sufficient amount of labeled data is used. However, the annotation process is a costly and …