Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Jorge Vivaldi"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 29, Iss 2, Pp 204-211 (2017)
A semantic tagger aiming to detect relevant entities in Arabic medical documents and tagging them with their appropriate semantic class is presented. The system takes profit of a Multilingual Framework covering four languages (Arabic, English, French
Externí odkaz:
https://doaj.org/article/4725ed449b5044fea3d2692e323b090a
Publikováno v:
Linguamática, Vol 1, Iss 2 (2009)
En este trabajo se presenta un nuevo algoritmo de resumen automático de textos especializados, en concreto del dominio médico, que aúna estrategias lingüísticas y estadísticas. La novedad del artículo radica en la correcta combinación de dich
Externí odkaz:
https://doaj.org/article/0d5cc8a677cc446eaf85beca0ffea3f5
Autor:
Jorge Vivaldi, Horacio Rodríguez
Publikováno v:
Natural Language Engineering. :1-38
Data de publicació electrònica: 25 de febrer de 2022 This paper presents MHeTRep, a multilingual medical terminology and the methodology followed for its compilation. The multilingual terminology is organised into one vocabulary for each language.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbe78d868546bc158b1cbdd8a0969b1a
https://doi.org/10.1017/s1351324922000055
https://doi.org/10.1017/s1351324922000055
Autor:
Horacio Rodríguez, Jorge Vivaldi
Publikováno v:
SN Computer Science. 3
Even though many NLP resources and tools claim to be domain independent, their application to specifc tasks is restricted to some specifc domain, otherwise their performance degrade notably. As the accuracy of NLP resources drops heavily when applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::953382c25456b184a241ba4fedc07826
https://doi.org/10.1007/s42979-021-00952-7
https://doi.org/10.1007/s42979-021-00952-7
Autor:
Hanna Suominen, Gabriella Pasi, Liadh Kelly, Lorraine Goeuriot, Franco M. Luque, Nicola Brew-Sam, Sandaru Seneviratne, Laura Alonso Alemany, Philippe Mulhem, Jorge Vivaldi, Viviana Cotik, Roland Roller, Chenchen Xu, Darío Filippo, Gabriela Gonzalez Saez, Marco Viviani
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030722395
ECIR (2)
ECIR (2)
Motivated by the ever increasing difficulties faced by laypeople in retrieving and digesting valid and relevant information to make health-centred decisions, the CLEF eHealth lab series has offered shared tasks to the community in the fields of Infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d60e604eb12bc10be8b9254f28e033cc
http://hdl.handle.net/10281/319449
http://hdl.handle.net/10281/319449
Autor:
Rishabh Upadhyay, Nicola Brew-Sam, Jorge Vivaldi, Marco Viviani, Viviana Cotik, Hanna Suominen, Elias Bassani, Roland Roller, Chenchen Xu, Gabriela Nicole González-Sáez, Darío Filippo, Philippe Mulhem, Liadh Kelly, Gabriella Pasi, Lorraine Goeuriot, Franco M. Luque, Laura Alonso Alemany, Sandaru Seneviratne
Publikováno v:
Experimental IR Meets Multilinguality, Multimodality, and Interaction
Experimental IR Meets Multilinguality, Multimodality, and Interaction, 12880, Springer International Publishing, pp.308-323, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-85251-1_21⟩
Lecture Notes in Computer Science ISBN: 9783030852504
CLEF
Experimental IR Meets Multilinguality, Multimodality, and Interaction, 12880, Springer International Publishing, pp.308-323, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-85251-1_21⟩
Lecture Notes in Computer Science ISBN: 9783030852504
CLEF
In this paper, we provide an overview of the ninth annual edition of the CLEF eHealth evaluation lab. CLEF eHealth 2021 continues our evaluation resource building efforts around the easing and support of patients, their next-of-kins, health care prof
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40809334a066e46d47cf1dc7bb555688
https://hdl.handle.net/10281/418878
https://hdl.handle.net/10281/418878
Publikováno v:
Information Management and Big Data ISBN: 9783030116798
SIMBig
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
SIMBig
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Named Entity Recognition in the clinical domain and in languages different from English has the difficulty of the absence of complete dictionaries, the informality of texts, the polysemy of terms, the lack of accordance in the boundaries of an entity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5773a659403ec118e6449d8cdbb71cb
https://doi.org/10.1007/978-3-030-11680-4_23
https://doi.org/10.1007/978-3-030-11680-4_23
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
instname
Comunicació presentada a SemBEaR 2017: Computational Semantics Beyond Events and Roles, celebrat el dia 4 d'abril de 2017 a València, Espanya. This paper presents the IULA Spanish Clinical Record Corpus, a corpus of 3,194 sentences extracted from a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1c92d1515ec5a95ea407101bbc8f0c9
https://doi.org/10.18653/v1/w17-1807
https://doi.org/10.18653/v1/w17-1807
Publikováno v:
BioNLP@ACL
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Identification of the certainty of events is an important text mining problem. In particular, biomedical texts report medical conditions or findings that might be factual, hedged or negated. Identification of negation and its scope over a term of int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9accdccbaac99bee0d670a95b2b9a3ae
https://doi.org/10.18653/v1/w16-2921
https://doi.org/10.18653/v1/w16-2921
Publikováno v:
Terminology. 18:188-225
This article explores a statistical, language-independent methodology for the construction of taxonomies of specialized domains from noisy corpora. In contrast to proposals that exploit linguistic information by searching for lexico-syntactic pattern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b27026a3da426a22056e8d94f56103e
https://doi.org/10.1075/term.18.2.03naz
https://doi.org/10.1075/term.18.2.03naz