Natural language processing in medicine, life and environmental science
Medicine, life and environmental science rely on many forms of text data that guide research and clinical decision-making, such as scientific articles, electronic health records, reports and social media data. The size of the available data far exceeds human reading capabilities but artificial intelligence tools for natural language processing (NLP) can help extract valuable information leading to actionable insights. In this workshop, you will hear how large language models and other natural processing tools that can be used to process various forms of texts, as well as their advantages and limitations and open research questions.
The workshop will consist of talks, which you can listen to on-site or online. This will be followed by an informal mingle for on-site attendants combined with a demonstration of the EasyNER NLP tool and discussions about your ideas for potential NLP projects.
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