Zobrazeno 1 - 10
of 28
pro vyhledávání: '"MANUELA SANGUINETTI"'
Autor:
Pier Felice Balestrucci, Elisa Di Nuovo, Manuela Sanguinetti, Luca Anselma, Cristian Bernareggi, Alessandro Mazzei
Publikováno v:
IEEE Access, Vol 12, Pp 150502-150519 (2024)
Finite State Automata (FSA) serve as a fundamental mathematical model of computation, commonly explored in computer science degree programs. Traditionally, FSA are represented through state diagrams or tables, which, in educational settings necessita
Externí odkaz:
https://doaj.org/article/8c665dd6dd8f40e9b251413f2a416f96
Publikováno v:
IJCoL, Vol 8, Iss 1 (2022)
This article describes an ongoing project for the development of a novel Italian treebank in Universal Dependencies format: VALICO-UD. It consists of texts written by Italian L2 learners of different mother tongues (German, French, Spanish and Englis
Externí odkaz:
https://doaj.org/article/d46abd93192d49459493ab2d33198b84
Autor:
Arthur T. E. Capozzi, Mirko Lai, Valerio Basile, Fabio Poletto, Manuela Sanguinetti, Cristina Bosco, Viviana Patti, Giancarlo Ruffo, Cataldo Musto, Marco Polignano, Giovanni Semeraro, Marco Stranisci
Publikováno v:
IJCoL, Vol 6, Iss 1, Pp 77-97 (2020)
The paper describes the Web platform built within the project “Contro l’Odio”, for monitoring and contrasting discrimination and hate speech against immigrants in Italy. It applies a combination of computational linguistics techniques for hate
Externí odkaz:
https://doaj.org/article/8814b051a30348e5aafe9b3981121032
Publikováno v:
Language Resources and Evaluation. 55:477-523
Hate Speech in social media is a complex phenomenon, whose detection has recently gained significant traction in the Natural Language Processing community, as attested by several recent review works. Annotated corpora and benchmarks are key resources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bfec033a9fc478c48179d1ff1784abc
https://doi.org/10.1007/s10579-020-09502-8
https://doi.org/10.1007/s10579-020-09502-8
Autor:
Marco Stranisci, Marco Polignano, Arthur T. E. Capozzi, Giovanni Semeraro, Valerio Basile, Viviana Patti, Mirko Lai, Manuela Sanguinetti, Cataldo Musto, Giancarlo Ruffo, Fabio Poletto, Cristina Bosco
Publikováno v:
IJCoL, Vol 6, Iss 1, Pp 77-97 (2020)
The paper describes the Web platform built within the project “Contro l’Odio”, for monitoring and contrasting discrimination and hate speech against immigrants in Italy. It applies a combination of computational linguistics techniques for hate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1880d6896337ebe9429974332c9857ab
http://journals.openedition.org/ijcol/659
http://journals.openedition.org/ijcol/659
Autor:
Alessandro Mazzei, Luca Anselma, Manuela Sanguinetti, Amon Rapp, Dario Mana, Md. Murad Hossain, Viviana Patti, Rossana Simeoni, Lucia Longo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34dd03e1c9eebf69b24f0609a147e59e
http://hdl.handle.net/2318/1870919
http://hdl.handle.net/2318/1870919
Autor:
Di Lascio, M., MANUELA SANGUINETTI, Anselma, L., Mana, D., Mazzei, A., Patti, V., Simeoni, R.
Publikováno v:
Scopus-Elsevier
In this paper we discuss the role of natural language generation (NLG) in modern dialogue systems (DSs). In particular, we will study the role that a linguistically sound NLG architecture can have in a DS. Using real examples from a new corpus of dia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93d69b8e8a3f37a77622d6f37d067835
http://books.openedition.org/aaccademia/8450
http://books.openedition.org/aaccademia/8450
Autor:
Simone Balloccu, Maurizio Atzori, Manuela Sanguinetti, Matteo G. Collu, Ehud Reiter, Federico Sanna
Publikováno v:
UMAP (Adjunct Publication)
Diet coaching is a behaviour change task which requires lots of interaction with patients. E-health apps gathered lots of interest in research and, recently, chatbots have been leveraged to address this task, with a focus on persuasion to motivate pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23f0d89e2b6dec1ad04450cc5acd18ee
https://doi.org/10.1145/3450614.3463602
https://doi.org/10.1145/3450614.3463602
Autor:
Manuela Sanguinetti, Cristina Bosco, Lauren Cassidy, Özlem Çetinoğlu, Alessandra Teresa Cignarella, Teresa Lynn, Ines Rehbein, Josef Ruppenhofer, Djamé Seddah, Amir Zeldes
This article presents a discussion on the main linguistic phenomena which cause difficulties in the analysis of user-generated texts found on the web and in social media, and proposes a set of annotation guidelines for their treatment within the Univ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79d70d50a75432cf907c73f5a3b27c0f
http://arxiv.org/abs/2011.02063
http://arxiv.org/abs/2011.02063
Autor:
MANUELA SANGUINETTI, Bosco, C., Cassidy, L., Çetinoglu, Ö, Cignarella, A. T., Lynn, T., Rehbein, I., Ruppenhofer, J., Seddah, D., Zeldes, A.
Publikováno v:
Sanguinetti, Manuela ORCID: 0000-0002-0147-2208 , Bosco, Cristina, Cassidy, Lauren, Çetinoglu, Özlem, Cignarella, Alessandra Teresa ORCID: 0000-0002-4409-6679 , Lynn, Teresa, Rehbein, Ines, Ruppenhofer, Josef, Seddah, Djamé and Zeldes, Amir ORCID: 0000-0001-8016-6753 (2020) Treebanking user-generated content: a proposal for a unified representation in universal dependencies. In: 12th Language Resources and Evaluation Conference. (LREC 2020), 11-16 May 2020, Marseille, France.
Scopus-Elsevier
Sanguinetti, Manuela ORCID: 0000-0002-0147-2208, Bosco, Cristina, Cassidy, Lauren, Çetinoglu, Özlem, Cignarella, Alessandra Teresa ORCID: 0000-0002-4409-6679 , Lynn, Teresa, Rehbein, Ines, Ruppenhofer, Josef, Seddah, Djamé and Zeldes, Amir ORCID: 0000-0001-8016-6753 (2020) Treebanking user-generated content: a proposal for a unified representation in universal dependencies. In: 12th Language Resources and Evaluation Conference. (LREC 2020), 11-16 May 2020, Marseille, France. (Virtual).
Scopus-Elsevier
Sanguinetti, Manuela ORCID: 0000-0002-0147-2208
The paper presents a discussion on the main linguistic phenomena of user-generated texts found in web and social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework. Given on the one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::02b7af422c764fb67942314cfa81fcd5
http://doras.dcu.ie/24477/
http://doras.dcu.ie/24477/