Daniele Radicioni bibliography -- BibTeX

@inproceedings{radicioni03computational,
  Address = {Genova, Italy},
  Author = {D. P. Radicioni and V. Lombardo},
  Booktitle = {{Poster and Demonstration. 5th International Gesture Workshop (GW 2003)}},
  Title = {{Computational Modeling of Chord Shapes in Guitar Fingering}},
  Year = {2003}}

@inproceedings{radicioni04algorithm,
  Address = {Ivrea, Italy},
  Author = {D. P. Radicioni and L. Anselma and V. Lombardo},
  Booktitle = {{Atti del Secondo Convegno dell'Associazione Italiana di Scienze Cognitive (AISC)}},
  Title = {{An Algorithm to Compute Fingering for String Instruments}},
  Year = {2004}}

@inproceedings{radicioni04segmentation,
  Address = {Graz, Austria},
  Author = {D. P. Radicioni and L. Anselma and V. Lombardo},
  Booktitle = {{Procs. of the 1st Conference on Interdisciplinary Musicology (CIM04)}},
  Isbn = {3-200-00113-5},
  Editor = {R. Parncutt and A. Kessler and F. Zimmer},
  Title = {{A Segmentation-Based Prototype to Compute String Instruments Fingering}},
  Year = {2004}}

@inproceedings{radicioni05csp,
  Author = {D. P. Radicioni and V. Lombardo},
  Booktitle = {{AI*IA 2005: Advances in Artificial Intelligence, 9th Congress of the Italian Association for Artificial Intelligence, LNAI 3673}},
  Issn = {0302-9743},
  Editor = {S. Bandini and S. Manzoni},
  Pages = {470--473},
  Publisher = {Springer-Verlag},
  Title = {{A CSP approach for Modeling the Hand Gestures of a Virtual Guitarist}},
  Year = {2005}}

@inproceedings{radicioni05computational,
  Url = {http://www.di.unito.it/~radicion/papers/radicioni05computational.pdf},
  Address = {Mahwah, New Jersey},
  Author = {D. P. Radicioni and V. Lombardo},
  Booktitle = {{Procs. of the 27th Annual Conference of the Cognitive Science Society}},
  Isbn = {0-9768318-1-3},
  Editor = {B.G. Bara and L. Barsalou and M. Bucciarelli},
  Pages = {1791--1796},
  Publisher = {Lawrence Erlbaum Associates},
  Title = {{Computational Model of Chord Fingering}},
  Year = {2005}}

@inproceedings{radicioni05fingering,
  Address = {Barcelona, Spain},
  Author = {D. P. Radicioni and V. Lombardo},
  Booktitle = {{Procs. of the International Computer Music Conference (ICMC05)}},
  Isbn = {0-9713192-3-5},
  Pages = {527--530},
  Title = {{Fingering for Music Performance}},
  Year = {2005}}

@phdthesis{radicioni06phd,
  Address = {Torino, Italy},
  Author = {D. P. Radicioni},
  School = {Centro di Scienza Cognitiva, Universit\`a degli Studi di Torino},
  Title = {{Computational Modeling of Fingering in Music Performance}},
  Year = {2006}}

@techreport{radicioni05sequential,
  Author = {D. P. Radicioni and R. Esposito},
  Institution = {Universit\`a degli Studi di Torino},
  Number = {RT 92/05},
  Title = {{Sequential Learning for Tonal Analysis}},
  Year = {2005}}

@inproceedings{radicioni06conditional,
  Address = {Berlin},
  Author = {D. P. Radicioni and R. Esposito},
  Booktitle = {{Foundations of Intelligent Systems}},
  Issn = {0302-9743},
  Editor = {F. Esposito and Z. W. Ras},
  Number = {4203},
  Pages = {652--661},
  Publisher = {Springer-Verlag},
  Series = {LNAI},
  Title = {{A Conditional Model for Tonal Analysis}},
  Year = {2006}}

@inproceedings{radicioni06learning,
  Url = {http://www.di.unito.it/~radicion/papers/radicioni06learning.pdf},
  Author = {D. P. Radicioni and R. Esposito},
  Booktitle = {{Procs. of the 7th International Conference on Cognitive Modelling}},
  Isbn = {88-7873-031-9},
  Editor = {D. Fum and F. del Missier and A. Stocco},
  Title = {{Learning Tonal Harmony from Bach Chorales}},
  Year = {2006}}

@inproceedings{radicioni06methodological,
  Address = {Berlin},
  Author = {D. P. Radicioni and M. Botta},
  Booktitle = {{Foundations of Intelligent Systems}},
  Isbn = {978-3-540-45764-0},
  Issn = {0302-9743},
  Editor = {F. Esposito and Z. W. Ras},
  Number = {4203},
  Pages = {409--418},
  Publisher = {Springer-Verlag},
  Series = {LNAI},
  Title = {{A Methodological Contribution to Music Sequences Analysis}},
  Year = {2006}}

@techreport{esposito06fast,
  Author = {Roberto Esposito and Daniele P. Radicioni},
  Institution = {Universit\`a degli Studi di Torino, Dept. of Computer Science},
  Number = {RT 98/06},
  Title = {{A Fast Alternative to Viterbi Algorithm and its Applications to Supervised Sequential Learning}},
  Year = {2006}}

@article{radicioni07constraint,
  Author = {Daniele P. Radicioni and Vincenzo Lombardo},
  Journal = {Constraints},
  Issn = {1383-7133},
  Title = {{A Constraint-based Approach for Annotating Music Scores with Gestural Information}},
  Volume = {12},
  Number = {4},
  Pages = {405--428},
  Year = {2007}}

@inproceedings{esposito07carpediem,
  Url = {http://www.di.unito.it/~radicion/papers/esposito07carpediem.pdf},
  Author = {Roberto Esposito and Daniele P. Radicioni},
  Booktitle = {Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007)}, 
  Isbn = {978-1-59593-793-3},
  Title = {{CarpeDiem: an Algorithm for the Fast Evaluation of SSL Classifiers}}, 
  Editor = {Z. Ghahramani},
  Publisher = {ACM Press},
  Pages = {257--264},
  Year = {2007}}

@inproceedings{esposito07trip,
  Author = {Roberto Esposito and Daniele P. Radicioni},
  Booktitle = {AI*IA 2007: Advances in Artificial Intelligence, 10th Congress of the Italian Association for Artificial Intelligence)},
  Isbn = {978-3-540-74781-9},
  Title = {{Trip Around the HMPerceptron Algorithm: Empirical Findings and Theoretical Tenets}}, 
  Editor = {R. Basili and M. T. Pazienza}, 
  Publisher = {Springer-Verlag},  
  Pages = {242--253}, 
  Year = {2007}}

@inproceedings{radicioni07tonal,
  Author = {Daniele P. Radicioni and Roberto Esposito},
  Booktitle = {AI*IA 2007: Advances in Artificial Intelligence, 10th Congress of the Italian Association for Artificial Intelligence)},
  Isbn = {978-3-540-74781-9},
  Title = {{Tonal Harmony Analysis: a Supervised Sequential Learning Approach}}, 
  Editor = {R. Basili and M. T. Pazienza}, 
  Publisher = {Springer-Verlag},  
  Pages = {638--649}, 
  Year = {2007}}

@inproceedings{ajani08legal,
  Author = {G. Ajani and G. Boella and L. Lesmo and A. Mazzei and D.P. Radicioni and P. Rossi},
  Booktitle = {Proceedings of Langtech 2008},
  Title = {{Legal Taxonomy Syllabus: Handling Multilevel Legal Ontologies}}, 
  Editor = {}, 
  Publisher = {}, 
  Pages = {}, 
  Year = {2008}}

@inproceedings{ajani08multilevel,
  Author = {G. Ajani and G. Boella and L. Lesmo and A. Mazzei and D.P. Radicioni and P. Rossi},
  Booktitle = {Proceedings of the Workshop Semantic Processing of Legal Texts, held at the Conference on Language Resources and Evaluation (LREC-08)},
  Title = {{Multilevel Legal Ontologies}}, 
  Address = {Marrakech, Morocco},
  Editor = {}, 
  Publisher = {}, 
  Pages = {}, 
  Year = {2008}}

@inproceedings{brighi08towards,
  Author = {Brighi, Raffaella and Lesmo, Leonardo and Mazzei, Alessandro and Palmirani, Monica and Radicioni, Daniele P.},
  Url = {http://www.di.unito.it/~radicion/papers/brighi08towards.pdf},
  Booktitle = {Jurix 2008: The 21st Annual Conference},
  Series = {Frontiers in Artificial Intelligence and Applications},
  Editor = {},
  Pages = {202--206},
  Volume = {189},
  Title = {{Towards Semantic Interpretation of Legal Modifications through Deep Syntactic Analysis}},
  Publisher = {IOS Press},
  Year = {2008 (to appear)}}

@inbook{lesmo08estrazione,
  Author = {Lesmo, L. and Mazzei, A. and Radicioni, D.P.},
  Title = {{I fondamenti cognitivi del diritto}},
  Editor = {Palmirani, M. and Rotolo, A.  and  Brighi,  R. and Martoni, M.},
  Chapter = {{Estrazione Automatica di Informazioni Relative alle Modificazioni Normative}},
  Volume = {1},
  Pages = {65--87},
  Publisher = {GEDIT Edizioni},
  Address = {Bologna},
  Isbn = {978-88-6027-074-0},
  Year = {2008}}

@inproceedings{mazzei09nlp,
  Address = {Barcelona, Spain},
  Author = {A. Mazzei and D.P. Radicioni and R. Brighi},
  Booktitle = {Proceedings of the International Conference on ARTIFICIAL INTELLIGENCE and LAW, ICAIL09},
  Month = {June},
  Editor = {}, 
  Publisher = {ACM},  
  Pages = {50--57},
  Title = {{NLP-based Extraction of Modificatory Provisions Semantics}},
  Year = {2009}
}

@inproceedings{lesmo09extracting,
  Address = {Turin, Italy},
  Author = {L. Lesmo and A. Mazzei and D.P. Radicioni},
  Booktitle = {Proceedings of the International Conference on Hypertext, HT09},
  Month = {July},
  Editor = {}, 
  Publisher = {ACM},  
  Pages = {167--172},
  Title = {{Extracting Semantic Annotations from Legal Texts}},
  Year = {2009}
}

@inproceedings{ajani09legal,
  Author = {G. Ajani and G. Boella and L. Lesmo and M. Martin and A. Mazzei and D.P. Radicioni and P. Rossi},
  Booktitle = {3rd Workshop on Legal Ontologies and Artificial Intelligence Techniques},
  Title = {{Legal Taxonomy Syllabus version 2.0.}},
  Address = {Barcelona, Spain},
  Publisher = {CEUR},
  Year = {2009} 
}

@inproceedings{ajani09multilevel,
  Author = {G. Ajani and G. Boella and L. Lesmo and M. Martin and A. Mazzei and M. Martin and D.P. Radicioni and P. Rossi},
  Booktitle = {Semantic Processing of Legal Texts},
  Pages = {136--154},
  Editor = {S. Montemagni},
  Title = {{Multilevel Legal Ontologies}},
  Publisher = {Springer},
  Address = {Berlin},
  Year = {2010} 
}

@inbook{radicioni10breve,
  Author = {Radicioni, Daniele P. and Esposito, R.},
  Chapter = {{BREVE: an HMPerceptron-Based Chord Recognition System}},
  Editor = {Zbigniew W. Ras and Alicja Wieczorkowska},
  Publisher = {Springer-Verlag},
  Series = {Studies in Computational Intelligence},
  Volume = {274},
  Pages = {143--164},
  Title = {Advances in Music Information Retrieval},
  Year = {2010}}  

@inproceedings{esposito09empirical,
  Address = {Berlin},
  Author = {Esposito, R. and Radicioni, D.P. },
  Booktitle = {{AI*IA 2009}},
  Keywords = {ZZCOGN},
  Editor = {R. Serra and R. Cucchiara},
  Publisher = {Springer-Verlag},
  Volume = {5883},
  Pages = {141--150},
  Series = {LNAI},
  Title = {{Empirical Assessment of Two Strategies for Optimizing the Viterbi Algorithm}},
  Year = {2009}}

@inproceedings{lesmo09semantic,
  Address = {Berlin},
  Author = {Lesmo, L. and Mazzei, A. and Radicioni, D.P. },
  Booktitle = {{AI*IA 2009: 10th Congress of the Italian Association for Artificial Intelligence}},
  Editor = {R. Serra and R. Cucchiara},
  Publisher = {Springer-Verlag},
  Pages = {304--313},
  Series = {LNAI},
  Title = {{Semantic Annotation of Legal Modificatory Provisions}},
  Year = {2009}}

@article{esposito09carpediem,
  Author = {Esposito, R. and Radicioni, D. P. },
  Journal = {Journal of Machine Learning Research},
  Title = {{CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning}},
  Volume = {10},
  Number = {Aug},
  Pages = {1851--1880},
  Year = {2009}}

@inproceedings{lesmo09legal,
  Address = {Hyderabad, India},
  Author = {Lesmo, L. and Mazzei, A. and Radicioni, D.P.},
  Booktitle = {Proceedings of ICON-2009: 7th International Conference on Natural Language Processing},
  Month = {December},
  Publisher = {Macmillan Publishers},
  Title = {{Legal Modificatory Provisions and Thematic Relations}},
  Year = {2009}}

@inproceedings{lesmo11ontology,
  Address = {Oxford, UK},
  Author = {Lesmo, L. and Mazzei, A. and Radicioni, D.P.},
  Booktitle = {Proceedings of the 9th International Conference on Computational Semantics},
  Month = {January},
  Title = {{An Ontology Based Architecture for Translation}},
  Year = {(2011)}}

@inproceedings{lesmo11ontology_cicling,
  author    = {Leonardo Lesmo and Alessandro Mazzei and Daniele P. Radicioni},
  title     = {Ontology Based Interlingua Translation},
  booktitle = {Proceedings of the 12th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2011, Tokyo, Japan},
  pages     = {1--12},
  editor    = {Alexander F. Gelbukh},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {6609},
  year      = {2011},
  isbn      = {978-3-642-19436-8}
}

@inproceedings{lesmo11linguistic,
  author    = {Leonardo Lesmo and Alessandro Mazzei and Daniele P. Radicioni},
  title     = {Linguistic Descriptions in Ontology-Based Machine Translation},
  booktitle = {Proceedings of  EuroCogSci 2011, the European Cognitive Science Conference. Sophia, Bulgaria},
  month = {May},
  year  = {2011 (to appear)}
  
  
  
  
  
}

@inproceedings{palmirani11framenet,
  Address = {Pittsburgh, PA},
  Author = {Palmirani, M. and Ceci, M. and Radicioni, Daniele P. and Mazzei, Alessandro},
  Booktitle = {Proceedings of the Thirteenth International Conference on ARTIFICIAL INTELLIGENCE and LAW, ICAIL11},
  % Month = {June},
  Editor = {Tom van Engers}, 
  Publisher = {ACM},  
  % Pages = {},
  Title = {{FrameNet Model of the Suspension of Norms}},
  Year = {2011 (to appear)}
}

@inproceedings{damele11legal,
  Address = {Amsterdam, Netherlands},
  Author = {Damele, Giovanni and Dogliani, Mario and Mastropaolo, Antonio and Pallante, Francesco and Radicioni, Daniele P.},
  Booktitle = {{From Information to Knowledge -- Online Access to Legal Information: Methodologies, Trends and Perspectives}},
  Editor = {Maria Angela Biasiotti and Sebastiano Faro},
  Publisher = {IOS Press},
  Pages = {119 -- 127},
  Series = {{Frontiers in Artificial Intelligence and Applications}},
  Title = {{On Legal Argumentation Techniques: Towards a Systematic Approach}},
  Year = {2011}
}

@inproceedings{ruggeri11where,
  Author = {Ruggeri, Alice and Battaglino, Cristina and Tiotto,  Gabriele and  Geraci, Carlo and Radicioni, Daniele P. and Mazzei,  Alessandro and Damiano,  Rossana and Lesmo,  Leonardo},
  Booktitle = {{Proceedings of the Workshop on Computational Models of Spatial Language Interpretation and Generation (CoSLI-2) - Boston, MA}},
  Publisher = {CEUR},
  Address = {Tilburg},
  Volume = {759},
  Pages = {24 -- 31},
  Title = {{Where should I put my hands? Planning hand location in sign languages}},
  Year = {2011}
}

@article{lesmo12tulsi,
  Abstract = {In this work we present the TULSI system (so named after Turin
University Legal Semantic Interpreter), a system to produce automatic
annotations of normative documents through the extraction of modificatory
provisions. TULSI relies on a deep syntactic analysis and a shallow semantic
interpreter that are illustrated in detail. We report the results of an
experimental evaluation of the system and discuss them, also suggesting future
directions for further improvement.},
  Author = {Lesmo, Leonardo and Mazzei, Alessandro and Palmirani, Monica and Radicioni, Daniele P.},
  Journal = {Artificial Intelligence and Law},
  Number = {4},
  Pages = {1--34},
  Title = {{TULSI: an NLP System for Extracting Legal Modificatory Provisions}},
  Volume = {12},
  Year = {2012}}

@inproceedings{acotto12musical,
  Abstract = {This study is a first attempt at formalizing the concept of
Musical Relevance from a cognitive and computational perspective. We elaborate
on Sperber and Wilson's Relevance Theory, and extend it to account for musical
cognition, involving both listening and understanding. Our claim is that the
application of the concept of Cognitive Relevance to music would permit us to
partially explain hearers' behavior and composers' choices. A computational
model of Musical Relevance could also con- tribute to the formulation of a
general computational theory of musical cognition. In turn, formulating an
algorithm to compute Musical Relevance can shed light on the computational
nature of the broader cognitive principle of relevance. We pro- pose to unify
Relevance Theory with the Generative Theory of Tonal Music, in order to
compute Musical Relevance. We started implementing a system to test the
proposed approach over simple examples and report about the results in a preliminary experimentation.},
  Address = {Sapporo, Japan},
  Author = {Acotto, Edoardo and Radicioni, Daniele P.},
  Booktitle = {{Proceedings of the 34th International Conference of the Cognitive Science Society}},
  Pages = {1248--1253},
  Publisher = {Cognitive Science Society},
  Title = {{Musical Relevance: a Computational Approach}},
  Year = {2012}}

@article{marceno12sentnet,
  Author = {Marcen\`{o}, Valeria and Mastropaolo, Antonio and Pallante, Francesco and Radicioni, Daniele P.},
  Journal = {Informatica e diritto},
  Number = {2},
  Pages = {187--211},
  Title = {{SENTNET, un sistema per l'analisi delle pronunce della Corte Costituzionale applicato al bilanciamento}},
  Volume = {38},
  Year = {2012}}

@article{ceci12semantic,
  Author = { Ceci, Marcello and  Lesmo, Leonardo and  Mazzei, Alessandro and  Palmirani, Monica and Radicioni, Daniele P. },
  Booktitle = {{AI Approaches to the Complexity of Legal Systems, Revised Selected Papers. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, LNAI}},
  Editor = {M. Palmirani et al.},
  Pages = {245--255},
  Publisher = {Springer-Verlag},
  Title = {{Semantic Annotation of Legal Texts through a FrameNet-Based Approach}},
  Volume = {7639},
  ISBN = {978-3-642-35730-5},
  Year = {2012}}

@inproceedings{robaldo12compiling,
  Abstract = {In this paper we present a prototype for automatically
identifying and classifying types of modifications in Italian legal text. The
prototype is part of the Eunomos system, a legal knowledge management service
that integrates and makes available legislation from various sources, while
finding definitions and explanations of legal concepts in a given context. The
design of the prototype is grounded on the error analysis of a previous
prototype. The latter made use of dependency relations provided by the TUP
parser, a multi-purpose parser for Italian. Since those syntactic relations
were responsible of the majority of errors, we decided in the present tool to
ignore them, and to rewrite an ad-hoc shallow parsing, based on the
morphological analysis of the legal text (still provided by the TUP parser). We
obtained performances much greater than those of the initial prototype. In
particular, the level of precision of the classification in output is now close
 to 100%.},
  Address = {Amsterdam, Netherlands},
  Author = {Robaldo, Livio and Lesmo, Leonardo and Radicioni, Daniele P.},
  Booktitle = {{Proceedings of the The 25th International Conference on Legal Knowledge and Information Systems}},
  Editor = {Schafer, Burkhard },
  Publisher = {IOS Press},
  Title = {{Compiling Regular Expressions to Extract Legal Modifications}},
  Year = {2012}}

@inproceedings{mastropaolo13legal,
  Abstract = {In this paper we investigate how to categorize text excerpts from
Italian normative texts. Although text categorization is a problem of broader
interest, we single out a specific issue. Namely, we are concerned with
categorizing the set of subjects in which Italian Regions are allowed to
produce norms: this is the so-called residual legislative power problem. It
basically consists in making explicit a set of subjects that was originally
defined only in a residual and negative fashion. The categorization of legal
text fragments is acknowledged to be a difficult problem, featured by abstract
concepts along with a variety of locutions used to denote them, by convoluted
sentence structure, and by several other facets. In addition, in the present
case subjects are often partially overlapped, and a training set of sufficient
size (for the problem under consideration) does not exist: all these aspects
make our task challenging. In this setting, classical feature-based approaches
provide poor quality results, so we explored algorithms based on compression
techniques. We tested three such techniques: we illustrate their main features
and report the results of an experimentation where our implementation of such
algorithms is compared with the output of standard machine learning
algorithms. Far from having found a silver bullet, we show that
compression-based techniques provide the best results for the problem at hand,
and argue that these approaches can be effectively coupled with more
informative and semantically grounded ones.},
  Author = {Mastropaolo, Antonio and Pallante, Francesco and Radicioni, Daniele P.},
  Booktitle = {{Proceedings of ICAIL 2013: XIV International Conference on Artificial Intelligence and Law}},
  Editor = {Bart Verheij},
  Pages = {92--100},
  Publisher = {ACM},
  Title = {{Legal Documents Categorization by Compression}},
  Year = {2013}}

@inproceedings{gianfelice13modificatory,
  Abstract = {In the last few years University of Turin and CIRSFID University
of Bologna collaborated to pair NLP techniques and legal knowledge to detect
modificatory provisions in normative texts. Annotating these modifications is
a relevant and interesting problem, in that modifications affect the whole
normative system; and legal language, though more regular than unrestricted
language, is sometimes particularly convoluted, and poses specific linguistic
issues. This paper focuses on two major aspects. First, we explore a
combination between parsing and regular expressions; to the best of our
knowledge, such hybrid strategy has never been proposed before to tackle the
problem at hand. Secondly, we significantly extend past works coverage
(basically focussed on substitution, integration and repeal modifications) in
order to account for further twelve modification kinds. For the sake of
conciseness, we fully illustrate and discuss only few modification types that
are more relevant and interesting: suspension, prorogation of efficacy,
postponement of efficacy and exception/derogation. These sorts of
modifications appear particularly challenging, in that modifications in these
categories make use of similar linguistic speech acts and verbs, and exhibit
strong similarities in the linguistic syntactical patterns, to such an extent
that to discern them is difficult for the legal expert, too. We describe the
implemented system and report about an extensive experimentation on the new
modificatory provisions. Results are discussed in order to improve both
system's accuracy and annotation practice.},
  Author = {Gianfelice, Davide and Lesmo, Leonardo and Palmirani, Monica and Perlo, Daniele and Radicioni, Daniele P.},
  Booktitle = {{Proceedings of ICAIL 2013: XIV International Conference on Artificial Intelligence and Law}},
  Editor = {Bart Verheij},
  Pages = {43--52},
  Publisher = {ACM},
  Title = {{Modificatory Provisions Detection: a Hybrid NLP Approach}},
  Year = {2013}}

@inproceedings{ghignone13typicality,
  Abstract = {In this paper we present a cognitively inspired system for the
representation of conceptual information in an ontology-based environment. It
builds on the heterogeneous notion of concepts in Cognitive Science and on the
so-called dual process theories of reasoning and rationality, and it provides a
twofold view on the same artificial concept, combining a classical symbolic
component (grounded on a formal ontology) with a typicality-based one (grounded
on the conceptual spaces framework). The implemented system has been tested in
a pilot experimentation regarding the classification task of linguistic
stimuli. The results show that this modeling solution extends the
representational and reasoning "conceptual" capabilities of standard
ontology-based systems.},
  Author = {Ghignone, Leo and Lieto, Antonio and Radicioni, Daniele P.},
  Booktitle = {Proceedings of the International Workshop on Artificial Intelligence and Cognition},
  Editor = {Lieto, Antonio and Cruciani, Marco},
  Publisher = {CEUR},
  Title = {{Typicality-Based Inference by Plugging Conceptual Spaces Into Ontologies}},
  Year = {2013}}

@inproceedings{esposito13cdot,
  Abstract = {Among the graph structures underlying Probabilistic Graphical
Models, trees are valuable tools for modeling several interesting problems,
such as linguistic parsing, phylogenetic analysis, and music harmony analysis.
In this paper we introduce CDoT, a novel exact algorithm for answering Maximum
a Posteriori queries on tree structures. We discuss its properties and study
its asymptotic complexity; we also provide an empirical assessment of its
performances, showing that the proposed algorithm substantially improves over a
dynamic programming based competitor.},
  Author = {Esposito, Roberto and Radicioni, Daniele P. and Visconti, Alessia},
  Booktitle = {AI*IA 2013},
  Pages = {481--492},
  Publisher = {Springer},
  Series = {Lecture Notes in Artificial Intelligence},
  Title = {{CDoT: Optimizing MAP Queries on Trees}},
  Volume = {8249},
  Year = {2013}}

@inproceedings{minieri14dual,
  Abstract = {In this work we present an ontology-based system equipped with a hybrid architecture for the representation of conceptual information. The proposed system aims at extending the representational and reasoning capabilities of classical ontology-based systems towards more realistic and cognitively grounded scenarios, such as those envisioned by the prototype theory. The resulting system attempts to reconcile the heterogeneous approach to the concepts in Cognitive Science and the dual process theories of reasoning and rationality. The system has been experimentally assessed in a conceptual categorization task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution substantially improves on the representational and reasoning "conceptual" capabilities of standard ontology-based systems.},
  Author = {Lieto, Antonio and Minieri, Andrea and Piana, Alberto and Radicioni, Daniele P.},
  Booktitle = {Proceedings of KEOD 2014, 6th International Conference on Knowledge Engineering and Ontology Development},
  Publisher = {SCITEPRESS – Science and Technology Publications},
  Editor = {Filipe, Joaquim and Dietz, Jan and Aveiro, David},
  Title = {{A Dual Process Architecture for Ontology-Based Systems}},
  Isbn = {978-989-758-049-9},
  Pages = {48--55},
  Year = {2014}
}

@article{lieto15knowledge,
  Abstract = {In this work we present a knowledge-based system equipped with a hybrid, cognitively inspired architecture for the representation of conceptual information. The proposed system aims at extending the classical representational and reasoning capabilities of the ontology-based frameworks towards the realm of the prototype theory. It is based on a hybrid knowledge base, composed of a classical symbolic component (grounded on a formal ontology) with a typicality based one (grounded on the conceptual spaces frame- work). The resulting system attempts to reconcile the heterogeneous approach to the concepts in Cognitive Science with the dual process theories of reasoning and rationality. The system has been experimentally assessed in a conceptual categorization task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution substantially extends the representational and reasoning ‘conceptual’ capabilities of standard ontology-based systems.},
  Author = {Lieto, Antonio and Minieri, Andrea and Piana, Alberto and Radicioni, Daniele P.},
  Journal = {Connection Science},
  Title = {{A knowledge-based system for prototypical reasoning}},
  DOI = {10.1080/09540091.2014.956292},
  Publisher = {Taylor & Francis},
  URL = {http://dx.doi.org/10.1080/09540091.2014.956292},
  Year = {In Press}
}

@inproceedings{lieto15extending,
  Author = {Lieto, Antonio and Radicioni, Daniele P. and Frixione, Marcello and Rho, Valentina},
  Booktitle = {Knowledge Discovery, Knowledge Engineering and Knowledge Management},
  Doi = {10.1007/978-3-319-25840-9_20},
  Editor = {Fred, Ana and Dietz, Jan L. G. and Aveiro, David and Liu, Kecheng and Filipe, Joaquim},
  Isbn = {978-3-319-25839-3},
  Pages = {313--328},
  Publisher = {Springer International Publishing},
  Series = {Communications in Computer and Information Science},
  Title = {Extending Ontological Categorization Through a Dual Process Conceptual Architecture},
  Volume = {553},
  Year = {2015}}

@inproceedings{lieto15common,
  Address = {Buenos Aires},
  Author = {Lieto, Antonio and Radicioni, Daniele P. and Rho, Valentina},
  Booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)},
  Month = {July},
  Pages = {875--881},
  Publisher = {AAAI Press},
  Title = {{A Common-Sense Conceptual Categorization System Integrating Heterogeneous Proxytypes and the Dual Process of Reasoning}},
  Year = {2015}}
}

@article{acotto15rilevanza,
  Author = {Acotto, Edoardo and Radicioni, Daniele P.},
  Editor = {Meini, Cristina and Paternoster, Alfredo},
  Title = {{Sulla Rilevanza delle Emozioni Musicali: un Approccio Computazionale}},
  volume={27},
  number={2},
  pages={427--438},
  year={2015},
  publisher={Societ{\`a} editrice il Mulino},
  Journal = {Sistemi Intelligenti},
  ISSN = {1120-9550}
}

@inproceedings{radicioni15visual,
  Author = {Radicioni, Daniele P. and Garbarini, Francesca and Calzavarini, Fabrizio and Biggio,  Monica and Lieto,  Antonio and Sacco,  Katiuscia and  Marconi, Diego},
  Editor = {Airenti, Gabriella and Cruciani, Marco},
  Booktitle = {Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science (EAP-COGSCI 2015)},
	Pages = {181--186},
  Publisher = {CEUR-WS.org},
	ISSN = {1613-0073},
	Volume = {1419}
  Title = {{On Mental Imagery in Lexical Processing: Computational Modeling of the Visual Load Associated to Concepts}},
  Year = {2015}}

@inproceedings{lieto15integrating,
  Author = {Lieto, Antonio and Radicioni, Daniele P. and Rho, Valentina},
  Booktitle = {BICA},
  Editor = {Georgeon, Olivier L.},
  Ee = {http://dx.doi.org/10.1016/j.procs.2015.12.211},
  Keywords = {dblp},
  Pages = {92-98},
  Publisher = {Elsevier},
  Series = {Procedia Computer Science},
  Title = {Integrating a Cognitive Framework for Knowledge Representation and Categorization in Diverse Cognitive Architectures.},
  Url = {http://dblp.uni-trier.de/db/conf/bica/bica2015.html#LietoRR15},
  Volume = 71,
  Year = 2015
}

@article{lieto16dual,
author = {Antonio Lieto and Daniele P. Radicioni and Valentina Rho},
title = {Dual PECCS: a cognitive system for conceptual representation and categorization},
journal = {Journal of Experimental \& Theoretical Artificial Intelligence},
volume = {29},
number = {2},
pages = {433-452},
year = {2017},
doi = {10.1080/0952813X.2016.1198934},
URL = {http://dx.doi.org/10.1080/0952813X.2016.1198934},
eprint = {http://dx.doi.org/10.1080/0952813X.2016.1198934},
abstract = {
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   categorization    (prototypical   and   exemplars-based
categorization)  with  standard monotonic  categorization  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. }
}

@Article{lieto16human,
title = "From human to artificial cognition and back: New perspectives on cognitively inspired \{AI\} systems ",
journal = "Cognitive Systems Research ",
volume = "39",
number = "",
pages = "1--3",
year = "2016",
note = "From human to artificial cognition (and back): new perspectives of cognitively inspired \{AI\} systems ",
issn = "1389-0417",
doi = "http://dx.doi.org/10.1016/j.cogsys.2016.02.002",
url = "http://www.sciencedirect.com/science/article/pii/S1389041716300183",
author = "Antonio Lieto and Daniele P. Radicioni",
abstract = "Abstract We  overview the  main historical and  technological elements
characterising the  rise, the fall  and the recent renaissance  of the
cognitive  approaches  to  Artificial Intelligence  and  provide  some
insights and  suggestions about  the future directions  and challenges
that, in our opinion, this discipline needs to face in the next years."
}

@inproceedings{lieto16resource,
	Author = {Lieto, Antonio and Mensa, Enrico and Radicioni, Daniele P.},
	Booktitle = {XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29 – December 1, 2016, Proceedings},
	Pages = {435--449},
	Publisher = {Springer},
	Series = {Lecture Notes in Artificial Intelligence},
	Title = {{A Resource-Driven Approach for Anchoring Linguistic Resources to Conceptual Spaces}},
	Volume = {10037},
	DOI = {10.1007/978-3-319-49130-1},
	ISBN = {978-3-319-49129-5},
	Year = {2016}}

@inproceedings{lieto16taming,
  author    = {Lieto, Antonio and Mensa, Enrico and Radicioni, Daniele P.},
  title     = {Taming Sense Sparsity: a Common-Sense Approach},
  booktitle = {Proceedings of Third Italian Conference on Computational Linguistics
               (CLiC-it 2016) {\&} Fifth Evaluation Campaign of Natural Language
               Processing and Speech Tools for Italian. Final Workshop {(EVALITA}
               2016), Napoli, Italy, December 5-7, 2016.},
  year      = {2016},
  url       = {http://ceur-ws.org/Vol-1749/paper31.pdf}
}

@InProceedings{mensa17ttcse,
  author    = {Mensa, Enrico  and  Radicioni, Daniele P.  and  Lieto, Antonio},
  title     = {\textsc{ttcs$^{\mathcal{E}}$}: {a Vectorial Resource for Computing Conceptual Similarity}},
  booktitle = {Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {96--101},
  abstract  = {In this paper we introduce the TTCSe, a linguistic resource that relies on
	BabelNet, NASARI and ConceptNet, that has now been used to compute the
	conceptual similarity between concept pairs. The conceptual representation
	herein provides uniform access to concepts based on BabelNet synset IDs, and
	consists of a vector-based semantic representation which is compliant with the
	Conceptual Spaces, a geometric framework for common-sense knowledge
	representation and reasoning. The TTCSe has been evaluated in a preliminary
	experimentation on a conceptual similarity task.},
  url       = {http://www.aclweb.org/anthology/W17-1912}
}

@InProceedings{mensa17merali,
  author    = {Mensa, Enrico  and  Radicioni, Daniele P.  and  Lieto, Antonio},
  title     = {MERALI at SemEval-2017 Task 2 Subtask 1: a Cognitively Inspired approach},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {236--240},
  abstract  = {In this paper we report on the participation of the MERALI system to the
	SemEval Task 2 Subtask 1. The MERALI system approaches conceptual similarity
	through a simple, cognitively inspired, heuristics; it builds on a linguistic
	resource, the TTCS-e, that relies on BabelNet, NASARI and ConceptNet. The
	linguistic resource in fact contains a novel mixture of common-sense and
	encyclopedic knowledge. The obtained results point out that there is ample room
	for improvement, so that they are used to elaborate on present limitations and
	on future steps.},
  url       = {http://www.aclweb.org/anthology/S17-2038}
}

@article{lieto2017towards,
	Author = {Lieto, Antonio and Radicioni, Daniele P. and Rho, Valentina and Mensa, Enrico},
	Journal = {Intelligenza Artificiale},
	Title = {{Towards a Unifying Framework for Conceptual Represention and Reasoning in Cognitive Systems}},
	Year = {2017},
	Volume = {11},
	Number = {2},
	pages = {139--153},
	Bdsk-Url-1 = {http://dx.doi.org/10.1080/0952813X.2016.1198934}}

@Inbook{colla2017semantic,
	author    = "Colla, Davide
	and Mensa, Enrico
	and Radicioni, Daniele P.",
	editor  =  "Esposito,  Floriana  and Basili,  Roberto  and  Ferilli,
Stefano and Lisi, Francesca A.",
	title     = "Semantic Measures for Keywords Extraction",
	bookTitle =  "AI*IA 2017 Advances in  Artificial Intelligence: XVIth
International  Conference of  the Italian  Association for  Artificial
Intelligence, Bari, Italy, November 14-17, 2017, Proceedings",

	year      = "2017",
	publisher = "Springer International Publishing",
	address   = "Cham",
	pages     = "128--140",
	abstract = "In  this paper we introduce a  minimalist hypothesis for
keywords extraction: keywords can be  extracted from text documents by
considering concepts  underlying document terms.  Furthermore, central
concepts are  individuated as  the concepts that  are more  related to
title concepts. Namely,  we propose five metrics, that  are diverse in
essence, to  compute the centrality  of concepts in the  document body
with  respect to  those  in  the title.  We  finally  report about  an
experimentation  over  a popular  data  set  of human  annotated  news
articles; the results confirm the soundness of our hypothesis.",
	isbn      = "978-3-319-70169-1",
	doi       = "10.1007/978-3-319-70169-1_10",
	url       = "https://doi.org/10.1007/978-3-319-70169-1_10"
}

@Inbook{lombardo2017semantic,
	author="Lombardo, Vincenzo
	and Piana, Fabrizio
	and Mimmo, Dario
	and Mensa, Enrico
	and Radicioni, Daniele P.",
	editor="Esposito, Floriana
	and Basili, Roberto
	and Ferilli, Stefano
	and Lisi, Francesca A.",
	title="Semantic Models for the Geological Mapping Process",
	bookTitle="AI*IA  2017 Advances  in  Artificial Intelligence:  XVIth
International  Conference of  the Italian  Association for  Artificial
Intelligence, Bari, Italy, November 14-17, 2017, Proceedings",
	year="2017",
	publisher="Springer International Publishing",
	address="Cham",
	pages="295--306",
	abstract="The geologic mapping process  requires the organization of
data according tothe  general knowledge about the objects  in the map,
namely  the  geologic  units,  and   tothe  objectives  of  a  graphic
representation of  such objects in  a map, following  some established
model  of geotectonic  evolution. Semantics  can greatly  help such  a
process in  providing a terminological  base to name and  classify the
objects  of  the  map  and supporting  the  application  of  reasoning
mechanisms for the derivation of  novel properties and relations about
the objects of the map.",
	isbn="978-3-319-70169-1",
	doi="10.1007/978-3-319-70169-1_22",
	url="https://doi.org/10.1007/978-3-319-70169-1_22"
}

@inproceedings{goy2017prismha,
	author= {Goy,  Anna and  Damiano, Rossana  and Loreto,  Fabrizio and
Magro,  Diego   and  Musso,  Stefano  and   Radicioni,  Daniele  P.and
Accornero, Cristina  and Colla, Davide  and Lieto, Antonio  and Mensa,
Enrico and Rovera,  Marco and Astrologo, Dunia and  Boniolo, Bruno and
D'Ambrosio, Matteo},
	editor={Borgo, Stefano and Kutz, Oliver  and Loebe, Frank and Neuhaus,
Fabian},
	title={{PRiSMHA  (Providing  Rich  Semantic  Metadata  for  Historical
Archives)}},
	bookTitle={Proceedings of  the Joint  Ontology Workshops  2017 Episode 3: The Tyrolean Autumn of Ontology},
	year={2017},
	publisher={CEUR},
	volume = {2050},
	address="",
	pages="",
	abstract={In this paper  we present the PRiSMHA  project, whose main
  goal  is to  demonstrate that  a rich  semantic representation  of the
  content   of  historical   documents  is   useful  -   since  it   can
  significantly  improve   the  access  to  archival   resources  -  and
  sustainable  - thanks  to a  crowdsourcing approach.  This goal  poses
  interesting  research   challenges,  both   for  the   semantic  model
  definition and  the user interaction.  Such challenges range  from the
  dialog between  computer scientists and  historians, to the  design of
  an effective  ontology-driven user  interface; from the  strategies to
  ensure  the  quality  of  the   semantic  metadata  produced,  to  the
  application  of  Information  Extraction techniques  to  support  user
annotation.},
	issn={1613-0073},
	url={http://ceur-ws.org/Vol-2050/CREOL_paper_2.pdf}
}

@inproceedings{colla2018tell,
	Abstract = {In this paper we introduce a system for the computation of
  explanations that accompany scores in the conceptual similarity task. In this
  setting the problem is, given a pair of concepts, to provide a score that
  expresses in how far the two concepts are similar. In order to explain how
  explanations are automatically built, we illustrate some basic features of
  \CVR, the lexical resource that underlies our approach, and the main traits of
  the \MERALI system, that computes conceptual similarity and explanations, all
  in one. To assess the computed explanations, we have designed a human
  experimentation, that provided interesting and encouraging results, which we
  report and discuss in depth.},
	Address = {Cham},
	Author = {Colla, Davide and Mensa, Enrico and Radicioni, Daniele P. and Lieto, Antonio},
	Booktitle = {Proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Special Session on Advances on Explainable Artificial Intelligence},
	Publisher = {Springer International Publishing},
	Editor = {J. Medina et al.},
	Series = {Communications in Computer and Information Science (CCIS)},
	Volume = {853},
	Pages = {74--85},
	Title = {Tell Me Why: Computational Explanation of Conceptual Similarity Judgments},
	Url = {https://doi.org/10.1007/978-3-319-91473-2_7},
	Year = {2018}}

@InProceedings{mensa2018grasping,
  author="Mensa, Enrico
  and Porporato, Aureliano
  and Radicioni, Daniele P.",
  editor="Gangemi, Aldo
  and Gentile, Anna Lisa
  and Nuzzolese, Andrea Giovanni
  and Rudolph, Sebastian
  and Maleshkova, Maria
  and Paulheim, Heiko
  and Pan, Jeff Z
  and Alam, Mehwish",
  title="Grasping Metaphors: Lexical Semantics in Metaphor Analysis",
  booktitle="The Semantic Web: ESWC 2018 Satellite Events",
  year="2018",
  publisher="Springer International Publishing",
  address="Cham",
  pages="192--195",
  abstract="Metaphors represent to date an extraordinary challenge for
  computational linguistics. Dealing with metaphors has relevant consequences on
  our ability to build agents and systems that understand Natural Language and
  text documents: annotating metaphoric constructions by linking the metaphor
  elements to existing resources is a crucial step to make text documents more
  easily accessible by machines. Our approach tackles metaphors by considering
  concepts and their abstractness. We report the encouraging results obtained in
  a preliminary experimentation; we elaborate on present limitations, and
  individuate the needed improvements, which will be the base for future work.",
  isbn="978-3-319-98192-5"
}

@inproceedings{mensa2018annotating,
	Address = {Cham},
	Author = {Mensa, Enrico and Porporato, Aureliano and Radicioni, Daniele P.},
	Booktitle = {Proceedings of the 17th International Conference of the Italian Association for Artificial Intelligence},
	Publisher = {Springer International Publishing},
	Year= {2018, to appear},
	Series = {Lecture Notes in Artificial Intelligence (LNAI)},
	Title = {{Annotating Concept Abstractness by Common-sense Knowledge}}
}

@inproceedings{colla2018conceptual,
	Author = {Colla, Davide and Mensa, Enrico and Porporato, Aureliano and Radicioni, Daniele P.},
	Booktitle = {Proceedings of the Fifth Italian Conference on Computational Linguistics (CLIC-IT 2018)},
	Year= {2018, to appear},
	Title = {{Conceptual Abstractness: from Nouns to Verbs}}
}

@article{mensa2018cover,
  author="Mensa, Enrico
  and Radicioni, Daniele P.
  and Lieto, Antonio",
  title="COVER: a linguistic resource combining common sense and lexicographic information",
  journal="Language Resources and Evaluation",
  year="2018",
  month="Dec",
  day="01",
  volume="52",
  number="4",
  pages="921--948",
  abstract="Lexical resources are fundamental to tackle many tasks that are
  central to present and prospective research in Text Mining, Information
  Retrieval, and connected to Natural Language Processing. In this article we
  introduce COVER, a novel lexical resource, along with COVERAGE, the algorithm
  devised to build it. In order to describe concepts, COVER proposes a compact
  vectorial representation that combines the lexicographic precision
  characterizing BabelNet and the rich common-sense knowledge featuring
  ConceptNet. We propose COVER as a reliable and mature resource, that has been
  employed in as diverse tasks as conceptual categorization, keywords
  extraction, and conceptual similarity. The experimental assessment is
  performed on the last task: we report and discuss the obtained results,
  pointing out future improvements. We conclude that COVER can be directly
  exploited to build applications, and coupled with existing resources, as
  well.", issn="1574-0218",

  doi="10.1007/s10579-018-9417-z",
  url="https://doi.org/10.1007/s10579-018-9417-z"
}

@InProceedings{carducci2019semantically,
author="Carducci, Giulio
and Leontino, Marco
and Radicioni, Daniele P.
and Bonino, Guido
and Pasini, Enrico
and Tripodi, Paolo",
editor="Manghi, Paolo
and Candela, Leonardo
and Silvello, Gianmaria",
title="Semantically Aware Text Categorisation for Metadata Annotation",
booktitle="Digital Libraries: Supporting Open Science",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="315--330",
abstract="In this paper we illustrate a system aimed at solving a long-standing and challenging problem: acquiring a classifier to automatically annotate bibliographic records by starting from a huge set of unbalanced and unlabelled data. We illustrate the main features of the dataset, the learning algorithm adopted, and how it was used to discriminate philosophical documents from documents of other disciplines. One strength of our approach lies in the novel combination of a standard learning approach with a semantic one: the results of the acquired classifier are improved by accessing a semantic network containing conceptual information. We illustrate the experimentation by describing the construction rationale of training and test set, we report and discuss the obtained results and conclude by drawing future work.",
isbn="978-3-030-11226-4"
}

@inproceedings{colla2019sartre,
  author    = {Davide Colla and
               Marco Leontino and
               Enrico Mensa and
               Daniele P. Radicioni},
  title     = {From Sartre to Frege in Three Steps: A* Search for Enriching Semantic Text Similarity Measures},
  booktitle = {Proceedings of the Sixth Italian Conference on Computational Linguistics,
               Bari, Italy, November 13-15, 2019},
  year      = {2019},
  url       = {http://ceur-ws.org/Vol-2481/paper20.pdf}
}

@inproceedings{porporato2019evaluating,
  author    = {Aureliano Porporato and
               Alessandro Mazzei and
               Daniele P. Radicioni and
               Rosa Meo},
  title     = {Evaluating the MuMe Dialogue System with the {IDIAL} protocol},
  booktitle = {Proceedings of the Sixth Italian Conference on Computational Linguistics, Bari, Italy, November 13-15, 2019},
  year      = {2019},
  url       = {http://ceur-ws.org/Vol-2481/paper58.pdf}
}

@inproceedings{goy2019fruitful,
  author    = {Annamaria Goy and
               Cristina Accornero and
               Dunia Astrologo and
               Davide Colla and
               Matteo D'Ambrosio and
               Rossana Damiano and
               Marco Leontino and
               Antonio Lieto and
               Fabrizio Loreto and
               Diego Magro and
               Enrico Mensa and
               Alice Montanaro and
               Valeria Mosca and
               Stefano Musso and
               Daniele P. Radicioni and
               Cristina Re},
  title     = {Fruitful Synergies between Computer Science, Historical Studies and Archives: The Experience in the PRiSMHA Project},
  booktitle = {Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, {IC3K}
2019, Volume 3: KMIS, Vienna, Austria, September 17-19, 2019},
  pages     = {225--230},
  year      = {2019},
  url       = {https://doi.org/10.5220/0008343802250230},
  doi       = {10.5220/0008343802250230}
}

@article{basile2019meaning,
  author="Basile, Valerio
  and Caselli, Tommaso
  and Radicioni, Daniele P.",
  title="{Meaning in Context: Ontologically and linguistically motivated representations of objects and events}",
  journal="Applied Ontology",
  year="2019",
  publisher="IOS Press",
  Address = {Amsterdam, Netherlands},
  volume="14",
  pages="335--341",
  doi="10.3233/AO-190221",
  url="https://doi.org/10.3233/AO-190221"
}

@article{garbarini2020imageability,
  title={Imageability effect on the functional brain activity during a naming to definition task},
  author={Garbarini, Francesca and Calzavarini, Fabrizio and Diano, Matteo and Biggio, Monica and Barbero, Carola and Radicioni, Daniele P and Geminiani, Giuliano and Sacco, Katiuscia and Marconi, Diego},
  journal={Neuropsychologia},
  volume={137},
  pages={107275},
  year={2020},
  publisher={Elsevier}
}

@article{colla2020lesslex,
  author = {Colla, Davide and Mensa, Enrico and Radicioni, Daniele P.},
  title = {LessLex: Linking Multilingual Embeddings to SenSe Representations of LEXical Items},
  journal = {Computational Linguistics},
  volume = {46},
  number = {2},
  pages = {289-333},
  year = {2020},
  doi = {10.1162/coli\_a\_00375},
  URL = {https://doi.org/10.1162/coli_a_00375},
  eprint = {https://doi.org/10.1162/coli_a_00375},
  abstract = { We present LESSLEX, a novel multilingual lexical resource.
  Different from the vast majority of existing approaches, we ground our
  embeddings on a sense inventory made available from the BabelNet semantic
  network. In this setting, multilingual access is governed by the mapping of
  terms onto their underlying sense descriptions, such that all vectors
  co-exist in the same semantic space. As a result, for each term we have thus
  the “blended” terminological vector along with those describing all senses
  associated to that term. LESSLEX has been tested on three tasks relevant to
  lexical semantics: conceptual similarity, contextual similarity, and semantic
  text similarity. We experimented over the principal data sets for such tasks
  in their multilingual and crosslingual variants, improving on or closely
  approaching state-of-the-art results. We conclude by arguing that LESSLEX
  vectors may be relevant for practical applications and for research on
  conceptual and lexical access and competence.}
}