Papers by Daniele Radicioni
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We present a novel algorithm and a linguistic resource named CLOSEST after 'Common SEnse STrainer... more We present a novel algorithm and a linguistic resource named CLOSEST after 'Common SEnse STrainer'. The resource contains a list of the main senses associated to a given term, and it was obtained by applying a simple set of pruning heuristics to the senses provided in the NASARI vectors for the set of 15K most frequent English terms. The preliminary experimentation provided encouraging results.
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In this paper we introduce the TTCS system, so named after Terms To Conceptual Spaces, that explo... more In this paper we introduce the TTCS system, so named after Terms To Conceptual Spaces, that exploits a resource-driven approach relying on BabelNet, NASARI and ConceptNet. TTCS takes in input a term and its context of usage and produces as output a specific type of vector-based semantic representation, where conceptual information is encoded through the Conceptual Spaces (a geometric framework for common-sense knowledge representation and reasoning). The system has been evaluated in a twofold experimentation. In the first case we assessed the quality of the extracted common-sense conceptual information with respect to human judgments with an online questionnaire. In the second one we compared the performances of a conceptual categorization system that was run twice, once fed with extracted annotations and once with hand-crafted annotations. In both cases the results are encouraging and provide precious insights to make substantial improvements.
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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), Jul 20, 2015
In this article we present DUAL-PECCS, an in- tegrated Knowledge Representation system aimed at e... more In this article we present DUAL-PECCS, an in- tegrated Knowledge Representation system aimed at extending artificial capabilities in tasks such as conceptual categorization. It relies on two different sorts of cognitively inspired common-sense reason- ing: prototypical reasoning and exemplars-based reasoning. Furthermore, it is grounded on the the- oretical tenets coming from the dual process the- ory of the mind, and on the hypothesis of heteroge- neous proxytypes, developed in the area of the bio- logically inspired cognitive architectures (BICA). The system has been integrated into the ACT-R cognitive architecture, and experimentally assessed in a conceptual categorization task, where a target concept illustrated by a simple common-sense lin- guistic description had to be identified by resort- ing to a mix of categorization strategies. Compared to human-level categorization, the obtained results suggest that our proposal can be helpful in extend- ing the representational and reasoning conceptual capabilities of standard cognitive artificial systems.
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Procedia Computer Science, 2015
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Communications in Computer and Information Science, 2015
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In this article we present an advanced version of Dual-PECCS, a cognitively-inspired knowledge re... more In this article we present an advanced version of Dual-PECCS, a cognitively-inspired knowledge representation and reasoning system aimed at extending the capabilities of artificial systems in conceptual categorization tasks. It combines different sorts of common-sense cat-egorization (prototypical and exemplars-based categorization) with standard monotonic cate-gorization procedures. These different types of inferential procedures are reconciled according to the tenets coming from the dual process theory of reasoning. On the other hand, from a representational perspective, the system relies on the hypothesis of conceptual structures represented as heterogeneous proxytypes. Dual-PECCS has been experimentally assessed in a task of conceptual categorization where a target concept illustrated by a simple common-sense linguistic description had to be identified by resorting to a mix of categorization strategies, and its output has been compared to human responses. The obtained results suggest that our approach can be beneficial to improve the representational and reasoning conceptual capabilities of standard cognitive artificial systems, and –in addition– that it may be plausibly applied to different general computational models of cognition. The current version of the system , in fact, extends our previous work, in that Dual-PECCS is now integrated and tested into two cognitive architectures, ACT-R and CLARION, implementing different assumptions on the underlying invariant structures governing human cognition. Such integration allowed us to extend our previous evaluation.
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Connection Science, 2014
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Tonal harmony analysis is arguably one of the most sophisticated tasks that musicians deal with. ... more Tonal harmony analysis is arguably one of the most sophisticated tasks that musicians deal with. It combines general knowledge with contextual cues, being ingrained with both faceted and evolving objects, such as mu-sical language, execution style, or even taste. In the present work we in-troduce mare, a system for tonal analysis. Music is naturally represented in terms of sequences of sounding events. mare is a first attempt to auto-matically learn to analyse music using the recently developed framework of conditional models. The system is presented and assessed on a corpus of Western classical pieces from the 18 th to the late 19 th Centuries reper-toire. The results are discussed and interesting issues in modeling this problem are drawn.
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Abstract Fingering is a cognitive process that maps,each note on a music score to a fingered posi... more Abstract Fingering is a cognitive process that maps,each note on a music score to a fingered position on some instru- ment. This paper presents a computational model for the fingering process with string instruments, based on a constraint satisfaction approach. The model is imple- mented in a computer program, which has been tested in an experiment in comparison with three human,ex- perts. The results have confirmed the predictions based on a set of constraints that encode the bio-mechanical aspects of the performer’s hand in its interaction with the musical instrument.
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In this work we present a project for the investigation of the argumentative techniques adopted i... more In this work we present a project for the investigation of the argumentative techniques adopted in the judgements of the Italian Constitutional Court. We provide a taxonomy of the argumentation techniques, we introduce the representation of the judgements, and outline the system to annotate the judgements with arguments and to query the annotated corpus. G. Damele is the author of the Section 4; M. Dogliani is the author of the Sections 1 and 5; A. Mastropaolo is the author of the Sections 3.1.2, 3.1.4 and 5; F. Pallante is the author of the Sections 3.1.1, 3.1.3 and 5; D. P. Radicioni is the author of the Sections 2, 3.2, 3.3, 3.4 and 5.
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This paper presents a computational model of fingering for string instruments, based on a graph s... more This paper presents a computational model of fingering for string instruments, based on a graph search approach. The implemented fingering model, which accounts for the bio-mechanical constraints of the performer's hand, is in- terfacedwithaphysicalmodeloftheclassicalguitar, which exploits the fingering to compute some sound synthesis parameters. The output of the system is validated against the performance of a human expert.
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Lecture Notes in Computer Science, 2007
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Lecture Notes in Computer Science, 2009
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Proceedings of the 13th International Conference on Artificial Intelligence and Law - ICAIL '11, 2011
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Lecture Notes in Computer Science, 2006
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Studies in Computational Intelligence, 2010
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Papers by Daniele Radicioni