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Found 5 papers, 0 papers with code
Searching COVID-19 clinical research using graphical abstracts
We build a co-occurrence network of concepts mentioned in the corpus; we then identify the best matches of graphical abstracts on the network.
Exploring the evolution of research topics during the COVID-19 pandemic
The COVID-19 pandemic has changed the research agendas of most scientific communities, resulting in an overwhelming production of research articles in a variety of domains, including medicine, virology, epidemiology, economy, psychology, and so on.
Fine-tuning Large Enterprise Language Models via Ontological Reasoning
Large Language Models (LLMs) exploit fine-tuning as a technique to adapt to diverse goals, thanks to task-specific training data.
A multi-layer approach to disinformation detection on Twitter
We tackle the problem of classifying news articles pertaining to disinformation vs mainstream news by solely inspecting their diffusion mechanisms on Twitter.
False News On Social Media: A Data-Driven Survey
In the past few years, the research community has dedicated growing interest to the issue of false news circulating on social networks.
Social and Information Networks Computers and Society
