3 projects

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...

CoLiBri - COVID19 Literature Browser for Scientific Investigations

Papyrus is a fully operational web-based corpus visualization software developed at LIST, providing interactive visual maps of topics extracted automatically from thousands of articles without prior knowledge of their contents. It can handle emerging situations where new vocabulary arises for the first time. Papyrus was previously validated with PubMed publications. It also uses the MESH ontology to extract medically relevant concepts, which are leveraged in several visualizations and in semantic search queries. Unlike search engines or faceted search, the provided interactive visualization...

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