Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Patrick Paroubek"'
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 7 (2022)
This paper aims at analyzing the changes in the fields of speech and natural language processing over the recent past 5 years (2016–2020). It is in continuation of a series of two papers that we published in 2019 on the analysis of the NLP4NLP corp
Externí odkaz:
https://doaj.org/article/453c964f28b7462cb2fa3e6006c60a84
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 3 (2019)
This paper introduces the NLP4NLP corpus, which contains articles published in 34 major conferences and journals in the field of speech and natural language processing over a period of 50 years (1965–2015), comprising 65,000 documents, gathering 50
Externí odkaz:
https://doaj.org/article/2a4c17e287bd49debd0589d1a256c272
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 3 (2019)
The NLP4NLP corpus contains articles published in 34 major conferences and journals in the field of speech and natural language processing over a period of 50 years (1965–2015), comprising 65,000 documents, gathering 50,000 authors, including 325,0
Externí odkaz:
https://doaj.org/article/2f904a75886f4100aff49b938b2bcbdb
Autor:
Philippe Boula de Mareüil, Gilles Adda, Martine Adda-Decker, Claude Barras, Benoît Habert, Patrick Paroubek
Publikováno v:
TIPA. Travaux interdisciplinaires sur la parole et le langage, Vol 29 (2013)
At the interface between corpus linguistics and automatic speech processing, this study aims at increasing our understanding of spontaneous speech-related phenomena, based on 8 hours of television shows (L’heure de vérité) of French political int
Externí odkaz:
https://doaj.org/article/35be2b3acbb44d61ba5657b534691ffe
Autor:
Zygmunt Vetulani, Patrick Paroubek
The monograph is a part of activity of fostering sound development of language technologies aiming at facing new challenges in the world marked by the COVID-19 pandemic, wars in Europe, mass migrations and natural disasters at the scale not seen sinc
Autor:
Patrick Paroubek, Joseph Mariani
Publikováno v:
Revue française de linguistique appliquée. :95-109
Le traitement informatique du langage a privilegie depuis trente ans les methodes d’apprentissage automatique qui ont permis des avancees technologiques operationnelles dans un nombre croissant d’applications. Celles-ci ont ete rendues possibles
Autor:
Jiahui Hu, Patrick Paroubek
Publikováno v:
Proceedings of the Third Workshop on Economics and Natural Language Processing.
Autor:
Lonneke van der Plas, Albert Gatt, Aitor García Pablos, Elena Edelman, Ángela Franco Torres, Khalid Choukri, Hans Degroote, Roberts Rozis, Thomas Lavergne, Pierre Zweigenbaum, Manuel Herranz, Thierry Etchegoyhen, Victoria Arranz, Mike Rosner, Claudia Borg, Montse Cuadros, Aleix Cerdà, Maite Melero, Ona de Gibert, Rinalds Vīksna, Cyril Grouin, Lucie Gianola, Chomicha Bendahman, Patrick Paroubek, Laurent Bié, Alejandro Adolfo Kohan, Ēriks Ajausks, Mickaël Rigault, Mercedes García Hernandez
Publikováno v:
Legal Knowledge and Information Systems
Frontiers in Artificial Intelligence and Applications
International Conference on Legal Knowledge and Information Systems
International Conference on Legal Knowledge and Information Systems, Dec 2020, Brno, Prague, Czech Republic. pp.223-226, ⟨10.3233/FAIA200869⟩
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
JURIX
Frontiers in Artificial Intelligence and Applications
International Conference on Legal Knowledge and Information Systems
International Conference on Legal Knowledge and Information Systems, Dec 2020, Brno, Prague, Czech Republic. pp.223-226, ⟨10.3233/FAIA200869⟩
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
JURIX
The European MAPA (Multilingual Anonymisation for Public Administrations) project aims at developing an open-source solution for automatic de-identification of medical and legal documents. We introduce here the context, partners and aims of the proje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f93457660a7043681d043fb9e916c36
https://hal.archives-ouvertes.fr/hal-03058311
https://hal.archives-ouvertes.fr/hal-03058311
Publikováno v:
BioNLP 2020-19th SIGBioMed Workshop on Biomedical Language Processing, Proceedings of the Workshop, 49-59
STARTPAGE=49;ENDPAGE=59;TITLE=BioNLP 2020-19th SIGBioMed Workshop on Biomedical Language Processing, Proceedings of the Workshop
BioNLP
STARTPAGE=49;ENDPAGE=59;TITLE=BioNLP 2020-19th SIGBioMed Workshop on Biomedical Language Processing, Proceedings of the Workshop
BioNLP
Improving the quality of medical research reporting is crucial to reduce avoidable waste in research and to improve the quality of health care. Despite various initiatives aiming at improving research reporting – guidelines, checklists, authoring a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5cc9692d1de2194a3b7a6ea8ee68e0b
https://pure.amc.nl/en/publications/despin(f2e04574-dd0f-408b-bbc3-e94bd921f882).html
https://pure.amc.nl/en/publications/despin(f2e04574-dd0f-408b-bbc3-e94bd921f882).html
Autor:
Patrick Paroubek, Anna Koroleva
Publikováno v:
Human Language Technology. Challenges for Computer Science and Linguistics ISBN: 9783030665265
LCT
LCT
In this article, we address the problem of providing automated aid for the detection of misrepresentation (“spin”) of research results in scientific publications from the biomedical domain. Our goal is to identify automatically inadequate claims
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7dcd54e20e63b1b59f27f6c69913237
https://doi.org/10.1007/978-3-030-66527-2_22
https://doi.org/10.1007/978-3-030-66527-2_22