Scientific content management with advanced ML & NLP at World Wide Neuro
Panos Bozelos, Tim P. Vogels · FENS Forum 2024
The accelerating output of scientific research presents significant challenges in content discoverability by readers and organization by platforms. Traditional systems often fall short in dynamically accommodating such rapid expansion, hence the need for agile and adaptive solutions. We address these challenges by applying advanced Machine Learning (ML) & Natural Language Processing (NLP) to effectively manage and organize a growing collection of scientific content.Specifically, we focus on World-Wide.org, a platform hosting >3,000 scientific seminars. We use a fine-tuned DeBERTa langua
ePoster · Neuroscience