A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-Classification
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification Antonio Lietoa,b, Gian Luca Pozzatoa, Stefano Zoiaa, Viviana Pattia, Rossana Damianoa aUniversity of Turin, Department of Computer Science, Turin, Italy bICAR-CNR, Palermo, Italy Abstract We present DEGARI (Dynamic Emotion Generator And ReclassIfier), an explain- able system for emotion attribution and recommendation. This system relies on a re- cently introduced commonsense reasoning framework, the TCL logic, which is based on a human-like procedure for the automatic generation of novel concepts in a Descrip- tion Logics knowledge base. Starting from an ontological formalization of emotions based on the Plutchik model, known as ArsEmotica, the system exploits the logic TCL to automatically generate novel commonsense semantic representations of compound emotions (e.g. Love as derived from the combination of Joy and Trust according to Plutchik). The generated emotions correspond to prototypes, i.e. commonsense repre- sentations of given concepts, and have been used to reclassify emotion-related contents in a variety of artistic domains, ranging from art datasets to the editorial contents avail- able in RaiPlay, the online platform of RAI Radiotelevisione Italiana (the Italian public broadcasting company). We show how the reported results (evaluated in the light of the obtained reclassifications, the user ratings assigned to such reclassifications, and their arXiv:2101.04017v5 [cs.AI] 2 Jun 2021 explainability) are encouraging, and pave the way to many further research directions. Keywords: Explainable AI, Commonsense reasoning, Knowledge Generation, Concept Combination, Computational Models of Emotion 1. Introduction and Background Emotions have been acknowledged as a key part of the aesthetic experience through all ages and cultures, as witnessed by terms such as “sublime” [53] and “pathos” [52], Preprint submitted to Elsevier June 3, 2021 associated with the experience of art since the ancient times.
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