Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Andrea Zugarini"'
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 31:4475-4486
We consider a scenario where an artificial agent is reading a stream of text composed of a set of narrations, and it is informed about the identity of some of the individuals that are mentioned in the text portion that is currently being read. The ag
Publikováno v:
IJCNN
Writers, poets, singers usually do not create their compositions in just one breath. Text is revisited, adjusted, modified, rephrased, even multiple times, in order to better convey meanings, emotions and feelings that the author wants to express. Am
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c150289411d61b1b0033042d864c7bf1
Autor:
Leonardo Rigutini, Antonio Trevisi, Andrea Zugarini, Marco Maggini, Achille Globo, Stefano Melacci
Publikováno v:
SNAMS
Paraphrasing is the task of re-writing an input text using other words, without altering the meaning of the original content. Conversational systems can exploit automatic paraphrasing to make the conversation more natural, e.g., talking about a certa
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series ISBN: 9783030304898
ICANN (4)
ICANN (4)
Motivated by the recent progresses on machine learning-based models that learn artistic styles, in this paper we focus on the problem of poem generation. This is a challenging task in which the machine has to capture the linguistic features that stro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::142cf96769ea06d456b464b93db765e5
http://arxiv.org/abs/1908.08861
http://arxiv.org/abs/1908.08861
Autor:
Andrea Zatkova, Barbara Marzocchi, Vittoria Cicaloni, Alberto Rossi, Lakshminarayan R. Ranganath, Andrea Zugarini, Giulia Bernardini, Annalisa Santucci, Daniela Braconi, Andrea Bernini, Matteo Zazzeri, Bruno Frediani, Ottavia Spiga, Monica Bianchini, Alfonso Trezza, Lia Millucci
Publikováno v:
Computers in biology and medicine. 103
This paper describes our experience with the development and implementation of a database for the rare disease Alkaptonuria (AKU, OMIM: 203500). AKU is an autosomal recessive disorder caused by a gene mutation leading to the accumulation of homogenti
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014230
In the last few years, neural networks have been intensively used to develop meaningful distributed representations of words and contexts around them. When these representations, also known as "embeddings", are learned from unsupervised large corpora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c437e8767393776cc8fcca3c8e075e4e
http://hdl.handle.net/11365/1065981
http://hdl.handle.net/11365/1065981
Publikováno v:
Artificial Neural Networks in Pattern Recognition ISBN: 9783319999777
ANNPR
ANNPR
This paper faces the problem of extracting knowledge from raw text. We present a deep architecture in the framework of Learning from Constraints [5] that is trained to identify mentions to entities and relations belonging to a given ontology. Each in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbed79f1a49c2820ca36de465fcfcc4e
https://doi.org/10.1007/978-3-319-99978-4_7
https://doi.org/10.1007/978-3-319-99978-4_7
Autor:
Matteo Zazzeri, Andrea Bernini, Andrea Zugarini, Ottavia Spiga, Alberto Rossi, Annalisa Santucci, Vittoria Cicaloni
MOTIVATION Alkaptonuria (AKU) is a rare and genetic disease which causes discoloration of bone (a process called ‘ochronosis’) and induces early-onset osteoarthritis. AKU data have not been organized yet and the disease has no approved biomarkers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::644279f8c00b57311f05136d84b7cdbb
http://hdl.handle.net/11365/1002930
http://hdl.handle.net/11365/1002930