{"type":"ScholarlyArticle","title":"AMICA: An Argumentative Search Engine for COVID-19 Literature","authors":[{"name":"Marco Lippi","slug":"marco-lippi","given":"Marco","family":"Lippi","affiliation":"DISMI -University of Modena and Reggio Emilia , Italy"},{"name":"Francesco Antici","slug":"francesco-antici","given":"Francesco","family":"Antici","affiliation":"DISI -University of Bologna , Italy"},{"name":"Gianfranco Brambilla","slug":"gianfranco-brambilla","given":"Gianfranco","family":"Brambilla","affiliation":"National Institute of Health , Italy"},{"name":"Evaristo Cisbani","slug":"evaristo-cisbani","given":"Evaristo","family":"Cisbani","affiliation":"National Institute of Health , Italy"},{"name":"Andrea Galassi","slug":"andrea-galassi","given":"Andrea","family":"Galassi","affiliation":"DISI -University of Bologna , Italy"},{"name":"Daniele Giansanti","slug":"daniele-giansanti","given":"Daniele","family":"Giansanti","affiliation":"National Institute of Health , Italy"},{"name":"Fabio Magurano","slug":"fabio-magurano","given":"Fabio","family":"Magurano","affiliation":"National Institute of Health , Italy"},{"name":"Antonella Rosi","slug":"antonella-rosi","given":"Antonella","family":"Rosi","affiliation":"National Institute of Health , Italy"},{"name":"Federico Ruggeri","slug":"federico-ruggeri","given":"Federico","family":"Ruggeri","affiliation":"DISI -University of Bologna , Italy"},{"name":"Paolo Torroni","slug":"paolo-torroni","given":"Paolo","family":"Torroni","affiliation":"DISI -University of Bologna , Italy"}],"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.","doi":"10.24963/ijcai.2022/857","url":"https://ijcai.org/proceedings/2022/857","pdf":"https://ijcai.org/proceedings/2022/0857.pdf","markdown":"https://ijcai.org/proceedings/2022/857.md","bibtex":"https://ijcai.org/proceedings/2022/bibtex/857","volume":{"slug":"2022","title":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2022","url":"https://ijcai.org/proceedings/2022/","year":2022,"location":"Vienna","dates":"23-29 July 2022","editors":"Luc De Raedt","isbn":"978-1-956792-00-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2022"},"section":"Demo Track","track":"Demo Track","number":857,"pages":{"first":5932,"last":5935},"keywords":["Natural Language Processing: Applications","Natural Language Processing: Information Retrieval and Text Mining","Multidisciplinary Topics and Applications: Health and Medicine"],"videos":[{"label":"Video #1","url":"https://slideslive.com/38987210","length_sec":79,"provider":"slideslive"},{"label":"Video #2","url":"https://slideslive.com/38985353","length_sec":300,"provider":"slideslive"}],"references":[{"position":1,"raw":"[Akoglu, 2018] Haldun Akoglu. 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