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@article{Albini:2021:10.3233/IA-210095,
author = {Albini, E and Baroni, P and Rago, A and Toni, F},
doi = {10.3233/IA-210095},
journal = {Intelligenza Artificiale},
pages = {17--34},
title = {Interpreting and explaining pagerank through argumentation semantics},
url = {http://dx.doi.org/10.3233/IA-210095},
volume = {15},
year = {2021}
}

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TY  - JOUR
AB  - In this paper we show how re-interpreting PageRank as an argumentation semantics for a bipolar argumentation framework empowers its explainability. After showing that PageRank, naively re-interpreted as an argumentation semantics for support frameworks, fails to satisfy some generally desirable properties, we propose a novel approach able to reconstruct PageRank as a gradual semantics of a suitably defined bipolar argumentation framework, while satisfying these properties. We then show how the theoretical advantages afforded by this approach also enjoy an enhanced explanatory power: we propose several types of argument-based explanations for PageRank, each of which focuses on different aspects of the algorithm and uncovers information useful for the comprehension of its results.
AU  - Albini,E
AU  - Baroni,P
AU  - Rago,A
AU  - Toni,F
DO  - 10.3233/IA-210095
EP  - 34
PY  - 2021///
SN  - 1724-8035
SP  - 17
TI  - Interpreting and explaining pagerank through argumentation semantics
T2  - Intelligenza Artificiale
UR  - http://dx.doi.org/10.3233/IA-210095
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000680740500002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://content.iospress.com/articles/intelligenza-artificiale/ia210095
UR  - http://hdl.handle.net/10044/1/104670
VL  - 15
ER  -

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