Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Lucia Siciliani"'
Publikováno v:
IJCoL, Vol 10, Iss 1 (2024)
The BLOOM Large Language Model is a cuttingI think that the authors’ way of doing self-training is quite interesting. I suggest writing about self-training in the abstract and generally expose self-training as one of the paper’s contributions.-ed
Externí odkaz:
https://doaj.org/article/7929c8248763427db8c45672d922dceb
Autor:
Vasilis Kopsachilis, Lucia Siciliani, Marco Polignano, Pol Kolokoussis, Michail Vaitis, Marco de Gemmis, Konstantinos Topouzelis
Publikováno v:
Information, Vol 12, Iss 8, p 321 (2021)
Scientists in the marine domain process satellite images in order to extract information that can be used for monitoring, understanding, and forecasting of marine phenomena, such as turbidity, algal blooms and oil spills. The growing need for effecti
Externí odkaz:
https://doaj.org/article/3a2c9af1650548579617dcde5cf242ad
Publikováno v:
IJCoL, Vol 3, Iss 2, Pp 37-50 (2017)
In this paper, we propose a Deep Learning architecture for several Italian Natural Language Processing tasks based on a state of the art model that exploits both word- and character-level representations through the combination of bidirectional LSTM,
Externí odkaz:
https://doaj.org/article/a0c725c2e96d416e80f81c6a548eeff1
Publikováno v:
Semantic Web. 13:215-231
Question Answering (QA) over Knowledge Graphs (KG) aims to develop a system that is capable of answering users’ questions using the information coming from one or multiple Knowledge Graphs, like DBpedia, Wikidata, and so on. Question Answering syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d9a6e133d32bb34107f4f1ea1f82824
https://doi.org/10.3233/sw-210440
https://doi.org/10.3233/sw-210440
Autor:
Lucia Siciliani, Marco Lovetere, Antonio Pascucci, Federico Sangati, Pierpaolo Basile, Johanna Monti
Publikováno v:
Scopus-Elsevier
Evaluating Artificial Players for the Language Game “La Ghigliottina” (Ghigliottin-AI) task is one of the tasks organized in the context of the 2020 EVALITA edition, a periodic evaluation campaign of Natural Language Processing (NLP) and speech t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb0a9a81bad99eb6a009b1c742b96131
https://doi.org/10.4000/books.aaccademia.7488
https://doi.org/10.4000/books.aaccademia.7488
Autor:
Marco de Gemmis, Marco Polignano, Michail Vaitis, Vasilis Kopsachilis, Polichronis Kolokoussis, Konstantinos Topouzelis, Lucia Siciliani
Publikováno v:
Information
Volume 12
Issue 8
Information, Vol 12, Iss 321, p 321 (2021)
Volume 12
Issue 8
Information, Vol 12, Iss 321, p 321 (2021)
Scientists in the marine domain process satellite images in order to extract information that can be used for monitoring, understanding, and forecasting of marine phenomena, such as turbidity, algal blooms and oil spills. The growing need for effecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee17c090b2dcdd2bbbc5dafc63893314
https://doi.org/10.3390/info12080321
https://doi.org/10.3390/info12080321
Publikováno v:
IJCoL, Vol 3, Iss 2, Pp 37-50 (2017)
In this paper, we propose a Deep Learning architecture for several Italian Natural Language Processing tasks based on a state of the art model that exploits both word- and character-level representations through the combination of bidirectional LSTM,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b420b97ef5869c5f8598a64e914b48a1
https://doi.org/10.4000/ijcol.553
https://doi.org/10.4000/ijcol.553
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030351656
AI*IA
AI*IA
Question Answering (QA) over Knowledge Graphs (KGs) has gained its momentum thanks to the spread of the Semantic Web. However, despite the abundance of methods proposed in this field, there are still many aspects that need to be fully covered. One of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08eee7994bace015e403bdab694b5350
https://doi.org/10.1007/978-3-030-35166-3_15
https://doi.org/10.1007/978-3-030-35166-3_15
Autor:
Lucia Siciliani
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319981918
ESWC (Satellite Events)
ESWC (Satellite Events)
The fast growth of the Semantic Web has unleashed its potentialities, leading to the development of many tools and services that can exploit the huge amount of information it contains. As more semantic information is available online, mainly in the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2f9921af0d3f99229eed57ace39bd0d
https://doi.org/10.1007/978-3-319-98192-5_47
https://doi.org/10.1007/978-3-319-98192-5_47
Publikováno v:
Information Filtering and Retrieval ISBN: 9783319461335
DART@AI*IA (Revised and Invited Papers)
DART@AI*IA (Revised and Invited Papers)
In this chapter we propose an innovative information retrieval system able to manage temporal information. The system allows temporal constraints in a classical keyword-based search. Information about temporal events is automatically extracted from t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42965716139e2e19c5393850488cd4fd
https://doi.org/10.1007/978-3-319-46135-9_1
https://doi.org/10.1007/978-3-319-46135-9_1