Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Italian natural language processing"'
Publikováno v:
Algorithms, Vol 15, Iss 6, p 204 (2022)
This paper focuses on the automatic analysis of conversation transcriptions in the call center of a customer care service. The goal is to recognize topics related to problems and complaints discussed in several dialogues between customers and agents.
Externí odkaz:
https://doaj.org/article/c7d1878bbc7d4093b07119b4da26cfa0
Akademický článek
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Publikováno v:
CLiC-it
The paper describes the creation of a manually validated dataset of Italian multiword expressions, building on candidates automatically extracted from corpora of written Italian. The main features of the resource, such as POS-pattern and lemma distri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae4c93a98eff2c8ef002ea2ea8cafce8
http://hdl.handle.net/11585/802257
http://hdl.handle.net/11585/802257
Publikováno v:
Intelligent Interactive Multimedia Systems and Services 2017 ISBN: 9783319594798
IIMSS
KES Intelligent Interactive Multimedia: Systems and Services 2017, pp. 119–128, Vilamoura, Portugal, 21/06/2017, 23/06/2017
info:cnr-pdr/source/autori:Crescenzo Diomaiuta, Maria Mercorella, Mario Ciampi, Giuseppe De Pietro/congresso_nome:KES Intelligent Interactive Multimedia: Systems and Services 2017/congresso_luogo:Vilamoura, Portugal/congresso_data:21%2F06%2F2017, 23%2F06%2F2017/anno:2017/pagina_da:119/pagina_a:128/intervallo_pagine:119–128
IIMSS
KES Intelligent Interactive Multimedia: Systems and Services 2017, pp. 119–128, Vilamoura, Portugal, 21/06/2017, 23/06/2017
info:cnr-pdr/source/autori:Crescenzo Diomaiuta, Maria Mercorella, Mario Ciampi, Giuseppe De Pietro/congresso_nome:KES Intelligent Interactive Multimedia: Systems and Services 2017/congresso_luogo:Vilamoura, Portugal/congresso_data:21%2F06%2F2017, 23%2F06%2F2017/anno:2017/pagina_da:119/pagina_a:128/intervallo_pagine:119–128
Applying Natural Language Processing techniques enables to unlock precious information contained in free text clinical reports. In this paper, we propose a system able to annotate medical entities in narrative records. Considering that existing NLP s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26e5b0857acefb2d77912eb26381e9e7
https://doi.org/10.1007/978-3-319-59480-4_13
https://doi.org/10.1007/978-3-319-59480-4_13
Kniha
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