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A survey of methods for addressing class imbalance in deep-learning based natural language processing
Many natural language processing (NLP) tasks are naturally imbalanced, as some target
categories occur much more frequently than others in the real world. In such scenarios …
categories occur much more frequently than others in the real world. In such scenarios …
Hierarchical graph-based integration network for propaganda detection in textual news articles on social media
During the Covid-19 pandemic, the widespread use of social media platforms has facilitated
the dissemination of information, fake news, and propaganda, serving as a vital source of …
the dissemination of information, fake news, and propaganda, serving as a vital source of …
NLRG at SemEval-2021 task 5: Toxic spans detection leveraging BERT-based token classification and span prediction techniques
Toxicity detection of text has been a popular NLP task in the recent years. In SemEval-2021
Task-5 Toxic Spans Detection, the focus is on detecting toxic spans within passages. Most …
Task-5 Toxic Spans Detection, the focus is on detecting toxic spans within passages. Most …
MemeMind at ArAIEval Shared Task: spotting persuasive spans in arabic text with persuasion techniques identification
This paper focuses on detecting propagandistic spans and persuasion techniques in Arabic
text from tweets and news paragraphs. Each entry in the dataset contains a text sample and …
text from tweets and news paragraphs. Each entry in the dataset contains a text sample and …
CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels
Abstract Machine learning classifiers typically rely on the assumption of balanced training
datasets, with sufficient examples per class to facilitate effective model learning. However …
datasets, with sufficient examples per class to facilitate effective model learning. However …
Propaganda detection in Russian and American news coverage about the war in Ukraine through text classification
V Hein - 2023 - repositum.tuwien.at
During different decades, propaganda was a vital technique to manipulate human opinions
subtly. With the rise of mass media, subtle opinions can be incepted by various sources …
subtly. With the rise of mass media, subtle opinions can be incepted by various sources …
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition
Data imbalance presents a significant challenge in various machine learning (ML) tasks,
particularly named entity recognition (NER) within natural language processing (NLP). NER …
particularly named entity recognition (NER) within natural language processing (NLP). NER …
Propaganda detection in public Covid-19 discussion on social media
As social media has grown exponentially during Covid-19, they have helped disseminate
information, spread fake news and propaganda; thus provide a source of self-reported …
information, spread fake news and propaganda; thus provide a source of self-reported …