Salar Mohtaj is a Research Scientist at the German Research Center for Artificial Intelligence (DFKI) and a postcoctoral researcher in the Speech & Language Technology group. He completed his PhD at Technische Universität Berlin, focusing on fake news and hate speech detection, and hold a Master’s degree in Information Technology from Tehran Polytechnic (Amirkabir University of Technology), specializing in natural language processing. Previously, he led the development of a Persian plagiarism detection system at ICT Research Institute of Tehran. With over 40 publications in journals and conferences, Salar has made contributions to different natural language processing tasks, notably publishing research and creating datasets across various tasks—from plagiarism detection and German text readability assessment to fake news detection.
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Transfer Learning for Harmful Content Detection
Salar Mohtaj
Introduction.- Background.- The Impact of Pre-processing on Fake News Detection.- Transfer Learning for Harmful Content Detection.- Sentiment Analysis and Fake News Detection.- Outlook.- Conclusion.
