Leveraging Sentiment Data for the Detection of Homophobic/Transphobic Content in a Multi-Task, Multi-Lingual Setting Using Transformers. - Filip Nilsson; Sana Sabah Al-Azzawi; György Kovács 001 (FIRE (Working Notes), 2022)

FilipN@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Examining the use of summarization methods as data augmentation for text classification. - Filip Nilsson; György Kovács 001 (LT-EDI, 2022)

NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset. - Sana Sabah Al-Azzawi; György Kovács 001; Filip Nilsson; Tosin P. Adewumi; Marcus Liwicki (SemEval@ACL, 2023)