AMICA: An Argumentative Search Engine for COVID-19 Literature
Abstract
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.
Cite
Text
Lippi et al. "AMICA: An Argumentative Search Engine for COVID-19 Literature." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/857Markdown
[Lippi et al. "AMICA: An Argumentative Search Engine for COVID-19 Literature." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/lippi2022ijcai-amica/) doi:10.24963/IJCAI.2022/857BibTeX
@inproceedings{lippi2022ijcai-amica,
title = {{AMICA: An Argumentative Search Engine for COVID-19 Literature}},
author = {Lippi, Marco and Antici, Francesco and Brambilla, Gianfranco and Cisbani, Evaristo and Galassi, Andrea and Giansanti, Daniele and Magurano, Fabio and Rosi, Antonella and Ruggeri, Federico and Torroni, Paolo},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2022},
pages = {5932-5935},
doi = {10.24963/IJCAI.2022/857},
url = {https://mlanthology.org/ijcai/2022/lippi2022ijcai-amica/}
}