AMICA: An Argumentative Search Engine for COVID-19 Literature
AMICA: An Argumentative Search Engine for COVID-19 Literature
Marco Lippi, Francesco Antici, Gianfranco Brambilla, Evaristo Cisbani, Andrea Galassi, Daniele Giansanti, Fabio Magurano, Antonella Rosi, Federico Ruggeri, Paolo Torroni
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
Demo Track. Pages 5932-5935.
https://doi.org/10.24963/ijcai.2022/857
AMICA is an argument mining-based search engine, specifically designed for the analysis of scientific literature related to Covid-19. AMICA retrieves scientific papers based on matching keywords and ranks the results based on the papers' argumentative content. An experimental evaluation conducted on a case study in collaboration with the Italian National Institute of Health shows that the AMICA ranking agrees with expert opinion, as well as, importantly, with the impartial quality criteria indicated by Cochrane Systematic Reviews.
Keywords:
Natural Language Processing: Applications
Multidisciplinary Topics and Applications: Health and Medicine
Natural Language Processing: Information Retrieval and Text Mining