Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Franco Alberto Cardillo"'
Publikováno v:
IJCoL, Vol 4, Iss 1, Pp 57-75 (2018)
Machine learning offers two basic strategies for morphology induction: lexical segmentation and surface word relation. The first approach assumes that words can be segmented into morphemes. Inferring a novel inflected form requires identification of
Externí odkaz:
https://doaj.org/article/ea47fdee18ca49449c2938cac6bdd45f
Publikováno v:
IJCoL, Vol 3, Iss 1, Pp 77-92 (2017)
Paradigm-based approaches to word processing/learning assume that word forms are not acquired in isolation, but through associative relations linking members of the same word family (e.g. a paradigm, or a set of forms filling the same paradigm cell).
Externí odkaz:
https://doaj.org/article/5be56a20772b432daa4708cfc4dd5a01
Autor:
Francesco Banterle, Franco Alberto Cardillo, Luigi Malomo, Paolo Pingi, Francesco Gabellone, Giuseppe Amato, Roberto Scopigno
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 5 (2015)
This paper discusses a case study on the use of augmented reality (AR) within the context of cultural heritage. We implemented an iOS app for markerless AR that will be exhibited at the MUST museum in Lecce, Italy. The app shows a rich 3D reconstruct
Externí odkaz:
https://doaj.org/article/5d13d7fbad374076abfe1e3fe7ddd0cd
Autor:
Dana Oniga, Barbara Cantalupo, Enzo Tartaglione, Daniele Perlo, Marco Grangetto, Marco Aldinucci, Federico Bolelli, Federico Pollastri, Michele Cancilla, Laura Canalini, Costantino Grana, Cristina Muñoz Alcalde, Franco Alberto Cardillo, Monica Florea
Publikováno v:
HPC, Big Data, and AI Convergence Towards Exascale ISBN: 9781003176664
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::014c1b97682c818d348ca220f1313056
https://hdl.handle.net/2318/1889147
https://hdl.handle.net/2318/1889147
Publikováno v:
pp. 217–240. London: CRC Press-Taylor & Francis Group, 2021
info:cnr-pdr/source/autori:Dana Oniga Barbara Cantalupo Daniele Perlo Marco Grangetto Federico Bolelli Federico Pollastri Michele Cancilla Laura Canalini Costantino Grana Cristina Muñoz Alcalde Franco Alberto Cardillo Monica Florea Enzo Tartaglione Marco Aldinucci/titolo:Applications of AI and HPC in the Health Domain/titolo_volume:/curatori_volume:/editore: /anno:2021
info:cnr-pdr/source/autori:Dana Oniga Barbara Cantalupo Daniele Perlo Marco Grangetto Federico Bolelli Federico Pollastri Michele Cancilla Laura Canalini Costantino Grana Cristina Muñoz Alcalde Franco Alberto Cardillo Monica Florea Enzo Tartaglione Marco Aldinucci/titolo:Applications of AI and HPC in the Health Domain/titolo_volume:/curatori_volume:/editore: /anno:2021
This chapter presents the applications of artificial intelligence (AI) and high-computing performance (HPC) in the health domain, illustrated by the description of five of the use cases that are developed in the DeepHealth project. In the context of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::6814ab98f1d6a0e8811cd434bbf4505a
Autor:
Marcello Ferro, R. Harald Baayen, Claudia Marzi, Petar Milin, Vito Pirrelli, Franco Alberto Cardillo
Publikováno v:
Berlin/Munich: De Gruyter Saur, 2020
info:cnr-pdr/source/autori:Pirrelli, Vito; Plag, Ingo; Dressler, Wolfgang U./titolo:Word knowledge and word usage: a cross-disciplinary guide to the mental lexicon/editore: /anno:2020
info:cnr-pdr/source/autori:Pirrelli, Vito; Plag, Ingo; Dressler, Wolfgang U./titolo:Word knowledge and word usage: a cross-disciplinary guide to the mental lexicon/editore: /anno:2020
This editorial project stemmed from a 4-year period of intense interdisciplinary research networking funded by the European Science Foundation within the framework of the NetWordS project (09-RNP-089).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::748c0523a91a021b0f7d10647663a1a4
https://doi.org/10.1515/9783110440577
https://doi.org/10.1515/9783110440577
Autor:
Vito Pirrelli, Claudia Marzi, Marcello Ferro, Franco Alberto Cardillo, Harald R. Baayen, Petar Milin
Publikováno v:
Word Knowledge and Word Usage, edited by Vito Pirrelli, Ingo Plag and Wolfgang U. Dressler, pp. 23–82. Berlin/Munich: De Gruyter Saur, 2020
info:cnr-pdr/source/autori:Pirrelli, Vito; Marzi, Claudia; Ferro, Marcello; Cardillo, Franco Alberto; Baayen, Harald R.; Milin, Petar/titolo:Psycho-computational modelling of the mental lexicon/titolo_volume:Word Knowledge and Word Usage/curatori_volume:Vito Pirrelli, Ingo Plag and Wolfgang U. Dressler/editore: /anno:2020
Word Knowledge and Word Usage
Word Knowledge and Word Usage-A Cross-Disciplinary Guide to the Mental Lexicon
Word Knowledge and Word Usage ISBN: 9783110440577
info:cnr-pdr/source/autori:Pirrelli, Vito; Marzi, Claudia; Ferro, Marcello; Cardillo, Franco Alberto; Baayen, Harald R.; Milin, Petar/titolo:Psycho-computational modelling of the mental lexicon/titolo_volume:Word Knowledge and Word Usage/curatori_volume:Vito Pirrelli, Ingo Plag and Wolfgang U. Dressler/editore: /anno:2020
Word Knowledge and Word Usage
Word Knowledge and Word Usage-A Cross-Disciplinary Guide to the Mental Lexicon
Word Knowledge and Word Usage ISBN: 9783110440577
Over the last decades, a growing body of evidence on the mechanisms governing lexical storage, access, acquisition and processing has questioned traditional models of language architecture and word usage based on the hypothesis of a direct correspond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6b94c9f84c88eb7c9570c2f72e456c1
https://zenodo.org/record/3997339
https://zenodo.org/record/3997339
Publikováno v:
Italian Journal of Computational Linguistics 3 (2017): 77–92.
info:cnr-pdr/source/autori:Bompolas, Stavros; Ferro, Marcello; Marzi, Claudia; Cardillo, Franco Alberto; Pirrelli, Vito/titolo:For a performance-oriented notion of regularity in inflection: the case of Modern Greek conjugation/doi:/rivista:Italian Journal of Computational Linguistics/anno:2017/pagina_da:77/pagina_a:92/intervallo_pagine:77–92/volume:3
IJCoL, Vol 3, Iss 1, Pp 77-92 (2017)
info:cnr-pdr/source/autori:Bompolas, Stavros; Ferro, Marcello; Marzi, Claudia; Cardillo, Franco Alberto; Pirrelli, Vito/titolo:For a performance-oriented notion of regularity in inflection: the case of Modern Greek conjugation/doi:/rivista:Italian Journal of Computational Linguistics/anno:2017/pagina_da:77/pagina_a:92/intervallo_pagine:77–92/volume:3
IJCoL, Vol 3, Iss 1, Pp 77-92 (2017)
Paradigm-based approaches to word processing/learning assume that word forms are not acquired in isolation, but through associative relations linking members of the same word family (e.g. a paradigm, or a set of forms filling the same paradigm cell).
Publikováno v:
Information systems (Oxf.) 80 (2019): 108–123. doi:10.1016/j.is.2018.01.002
info:cnr-pdr/source/autori:Connor R.; Vadicamo L.; Cardillo F.A.; Rabitti F./titolo:Supermetric search/doi:10.1016%2Fj.is.2018.01.002/rivista:Information systems (Oxf.)/anno:2019/pagina_da:108/pagina_a:123/intervallo_pagine:108–123/volume:80
info:cnr-pdr/source/autori:Connor R.; Vadicamo L.; Cardillo F.A.; Rabitti F./titolo:Supermetric search/doi:10.1016%2Fj.is.2018.01.002/rivista:Information systems (Oxf.)/anno:2019/pagina_da:108/pagina_a:123/intervallo_pagine:108–123/volume:80
Metric search is concerned with the efficient evaluation of queries in metric spaces. In general, a large space of objects is arranged in such a way that, when a further object is presented as a query, those objects most similar to the query can be e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c3307ab1ac182b37c49e1759d1ce2c2
http://dspace.stir.ac.uk/bitstream/1893/27630/1/Connor_etal_IS_2018_Supermetric_search.pdf
http://dspace.stir.ac.uk/bitstream/1893/27630/1/Connor_etal_IS_2018_Supermetric_search.pdf
Publikováno v:
BEA@ACL
Scopus-Elsevier
Scopus-Elsevier
We present a new concept prerequisite learning method for Learning Object (LO) ordering that exploits only linguistic features extracted from textual educational resources. The method was tested in a cross- and in- domain scenario both for Italian an