Amsterdam Data Science (ADS) in collaboration with Elsevier are hosting a webinar on NLP for Health Research.
Program
12:00 Introduction & Welcome
12:05 Talk #1 NLP 4 COVID: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles
12:30 Talk #2 TBA
12:50 Q&A
13:00 End!
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Zubair Afzal is a Principal NLP Scientist at Elsevier. He has a PhD in Clinical Text Mining and a Professional Doctorate in Engineering. He has been working in Elsevier for over 5 years. His main interests are in the fields of NLP and NLU using deep learning methods.
Ever since the COVID-19 pandemic broke out, the academic and scientific research community, as well as industry and governments around the world, have joined forces in an unprecedented manner to fight the threat. In this combat against the virus responsible for the pandemic, key for any advancements is the timely, accurate, peer-reviewed, and efficient communication of any novel research findings. They present a novel framework to address the information need of filtering efficiently the scientific bibliography for relevant literature around COVID-19. The contributions of their work are summarized in the following: they define and describe the information need that encompasses the major requirements for COVID-19 articlesโ relevancy, we present and release an expert-curated benchmark set for the task, and we introduce CORA (Covid Relevancy Algorithm), a deep active learning model to identify core scientific articles.
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Background information
Amsterdam Data Science (ADS) is a network organisation of academic and industrial partners that has established a strong Data Science and AI ecosystem in the Amsterdam region.
ADS exists to facilitate the growth and international standing of this ecosystem. It does this by connecting knowledge institutes and bridging academia, industry and society by providing a platform for collaboration and engagement.
Established in 2014, ADS is the initiative of the four knowledge institutes in Amsterdam: CWI, HvA, VU and UvA.
ADS organises a minimum of 12 Meetups a year, all of which are free to attend. These Meetups focus on exciting topics within the fields of Data Science and AI, including health, human interaction, cybersecurity and the real world applications of the research. ADS brings together speakers from academia and industry to showcase their expertise and world-class research in Data Science and AI.
