Zobrazeno 1 - 10
of 1 086
pro vyhledávání: '"Merialdo, P."'
Autor:
Verdini, Francesco, Melucci, Pierfrancesco, Perna, Stefano, Cariaggi, Francesco, Gaido, Marco, Papi, Sara, Mazurek, Szymon, Kasztelnik, Marek, Bentivogli, Luisa, Bratières, Sébastien, Merialdo, Paolo, Scardapane, Simone
The remarkable performance achieved by Large Language Models (LLM) has driven research efforts to leverage them for a wide range of tasks and input modalities. In speech-to-text (S2T) tasks, the emerging solution consists of projecting the output of
Externí odkaz:
http://arxiv.org/abs/2409.17044
Autor:
Teofili, Tommaso, Firmani, Donatella, Koudas, Nick, Martello, Vincenzo, Merialdo, Paolo, Srivastava, Divesh
Entity resolution (ER) aims at matching records that refer to the same real-world entity. Although widely studied for the last 50 years, ER still represents a challenging data management problem, and several recent works have started to investigate t
Externí odkaz:
http://arxiv.org/abs/2203.12978
Knowledge Graphs (KGs) have found many applications in industry and academic settings, which in turn, have motivated considerable research efforts towards large-scale information extraction from a variety of sources. Despite such efforts, it is well
Externí odkaz:
http://arxiv.org/abs/2002.00819
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Crescenzi, Valter, De Angelis, Andrea, Firmani, Donatella, Mazzei, Maurizio, Merialdo, Paolo, Piai, Federico, Srivastava, Divesh
Data integration is a long-standing interest of the data management community and has many disparate applications, including business, science and government. We have recently witnessed impressive results in specific data integration tasks, such as E
Externí odkaz:
http://arxiv.org/abs/2101.11259
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
In Codice Ratio is a research project to study tools and techniques for analyzing the contents of historical documents conserved in the Vatican Secret Archives (VSA). In this paper, we present our efforts to develop a system to support the transcript
Externí odkaz:
http://arxiv.org/abs/1803.03200
The design of activation functions is a growing research area in the field of neural networks. In particular, instead of using fixed point-wise functions (e.g., the rectified linear unit), several authors have proposed ways of learning these function
Externí odkaz:
http://arxiv.org/abs/1901.10232
Autor:
Grönroos, Stig-Arne, Huet, Benoit, Kurimo, Mikko, Laaksonen, Jorma, Merialdo, Bernard, Pham, Phu, Sjöberg, Mats, Sulubacak, Umut, Tiedemann, Jörg, Troncy, Raphael, Vázquez, Raúl
This paper describes the MeMAD project entry to the WMT Multimodal Machine Translation Shared Task. We propose adapting the Transformer neural machine translation (NMT) architecture to a multi-modal setting. In this paper, we also describe the prelim
Externí odkaz:
http://arxiv.org/abs/1808.10802
Autor:
Lange, Mona, Kott, Alexander, Ben-Asher, Noam, Mees, Wim, Baykal, Nazife, Vidu, Cristian-Mihai, Merialdo, Matteo, Malowidzki, Marek, Madahar, Bhopinder
The North Atlantic Treaty Organization (NATO) Exploratory Team meeting, "Model-Driven Paradigms for Integrated Approaches to Cyber Defense," was organized by the NATO Science and Technology Organization's (STO) Information Systems and Technology (IST
Externí odkaz:
http://arxiv.org/abs/1703.03306