3 projects

PICC4COVID

PICC4COVID is an SaaS solution providing actionable knowledge for practitioners and researchers in medical and bioscience fields. By using semantic BERT AI analysis, it build an augmented knowledge map extracted from reports, research papaers and so on. Imagine if Italian physicians had had access to all accumulated knowledge right at the beginning of the crisis! PICC Software enable physicians and researchers to access actionable knowledge for resolved problems identified by the healthcare and research community.

COVID19 Literature Bio-Curation, Text-mining and Semantic Web Technologies

The world wide scientific response to COVID-19 pandemic is reflected in the ever-growing scientific literature. Enriching our current knowledge base (https://biokb.lcsb.uni.lu) with these publications requires joint efforts at each stage of the chain of process involved in the text-mining pipeline. This pipeline comprises several challenging tasks such as part-of-speech tagging, entity recognition and normalisation, or event extraction, which are essential to discover relevant knowledge in the form of entities, relations and events. Such knowledge is then made available to the public via se...

INFODEMIC - Combating the Infodemic to Curb the Pandemic: A Step Towards a Reliable and Knowledg...

Building on SnT/Uni.lu expertise on text analytics and machine learning, we propose the INFODEMIC project to challenge fake news on social media. Our approach considers a holistic view in combating fake news. To that end, we develop three key work packages: (1) Archiving of viral fake news, where a wikipedia-like crowdsourcing approach is investigated for building a large and publicly-searchable repository of fake news; (2) Automating early detection of fake news, where transfer learning-based models are devised to flag potential fake news in a multilingual setting; (3) Integrating a relia...

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