Zobrazeno 1 - 10
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pro vyhledávání: '"Filannino, Michele"'
Autor:
Lanubile, Filippo, Calefato, Fabio, Quaranta, Luigi, Amoruso, Maddalena, Fumarola, Fabio, Filannino, Michele
Publikováno v:
Proc. of 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN), pp. 129-132
The transition from AI/ML models to production-ready AI-based systems is a challenge for both data scientists and software engineers. In this paper, we report the results of a workshop conducted in a consulting company to understand how this transiti
Externí odkaz:
http://arxiv.org/abs/2103.10548
Autor:
Filannino, Michele
The automatic extraction of temporal information from written texts is pivotal for many Natural Language Processing applications such as question answering, text summarisation and information retrieval. However, Temporal Information Extraction (TIE)
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728126
This paper describes a temporal expression identification and normalization system, ManTIME, developed for the TempEval-3 challenge. The identification phase combines the use of conditional random fields along with a post-processing identification pi
Externí odkaz:
http://arxiv.org/abs/1304.7942
Autor:
Filannino, Michele
Automatic annotation of temporal expressions is a research challenge of great interest in the field of information extraction. In this report, I describe a novel rule-based architecture, built on top of a pre-existing system, which is able to normali
Externí odkaz:
http://arxiv.org/abs/1206.2010
Publikováno v:
In Journal of Biomedical Informatics November 2017 75 Supplement:S4-S18
Publikováno v:
In Journal of Biomedical Informatics November 2017 75 Supplement:S62-S70
Publikováno v:
In Journal of Biomedical Informatics August 2017 72:23-32
Publikováno v:
In Journal of Biomedical Informatics August 2017 72:60-66
Autor:
Filannino, Michele, Nenadic, Goran
Publikováno v:
In Data & Knowledge Engineering November 2015 100 Part A:19-33
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