Zobrazeno 1 - 6
of 6
pro vyhledávání: '"György Móra"'
Autor:
Katherine Munro, Stefan Papp, Zoltan Toth, Wolfgang Weidinger, Danko Nikolic, Barbora Antosova Vesela, Karin Bruckmüller, Annalisa Cadonna, Jana Eder, Jeannette Gorzala, Gerald A. Hahn, Georg Langs, Roxane Licandro, Christian Mata, Sean McIntyre, Mario Meir-Huber, György Móra, Manuel Pasieska, Victoria Rugli, Rania Wazir, Günther Zauner
- A comprehensive overview of the various fields of application of data science and artificial intelligence.- Case studies from practice to make the described concepts tangible.- Practical examples to help you carry out simple data analysis projects.
Publikováno v:
Computational Linguistics. 38:335-367
Uncertainty is an important linguistic phenomenon that is relevant in various Natural Language Processing applications, in diverse genres from medical to community generated, newswire or scientific discourse, and domains from science to humanities. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3abb592c84dc64ae6fa94e6d691a1b5
https://doi.org/10.1162/coli_a_00098
https://doi.org/10.1162/coli_a_00098
Autor:
György Móra, Veronika Vincze
Publikováno v:
Text, Speech and Dialogue ISBN: 9783642327896
TSD
TSD
We present a machine learning-based method for jointly labeling POS tags and named entities. This joint labeling is performed by utilizing factor graphs. The variables of part of speech and named entity labels are connected by factors so the tagger j
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::189507ae78909b22c32d8cf1a03ab2ca
https://doi.org/10.1007/978-3-642-32790-2_28
https://doi.org/10.1007/978-3-642-32790-2_28
Autor:
Alexandre Kouznetsov, Udo Hahn, Senay Kafkas, Kazuo Hara, Cheng-Ju Kuo, Elena Beisswanger, Christopher J. O. Baker, Antonio Jimeno Yepes, Alberto Lavelli, Faisal Mahbub Chowdhury, Richárd Farkas, Erik M. van Mulligen, Ning Kang, Simone Clematide, Chen Li, György Móra, Alberto Pascual-Montano, Fabio Rinaldi, Walter Daelemans, Dietrich Rebholz-Schuhmann, Laura I. Furlong, Nigel Collier, Ekaterina Buyko, René Witte, Rafael Berlanga, José Luís Marina, Michael Rautschka, Kerstin Hornbostel, Jonas B. Laurila, Jan A. Kors, Vincent Van Asch, Ian Lewin, Mariana Neves, Qi Wei, Peter T. Corbett, Roser Morante, David Milward
Publikováno v:
Journal of Biomedical Semantics
Scopus-Elsevier
Recercat. Dipósit de la Recerca de Catalunya
instname
Proceedings of the 4th Symposium on Semantic Mining in biomedicine (SMBM)
Journal of Biomedical Semantics, Vol 2, Iss Suppl 5, p S11 (2011)
Digital.CSIC. Repositorio Institucional del CSIC
Scopus-Elsevier
Recercat. Dipósit de la Recerca de Catalunya
instname
Proceedings of the 4th Symposium on Semantic Mining in biomedicine (SMBM)
Journal of Biomedical Semantics, Vol 2, Iss Suppl 5, p S11 (2011)
Digital.CSIC. Repositorio Institucional del CSIC
Background Competitions in text mining have been used to measure the performance of automatic text processing solutions against a manually annotated gold standard corpus (GSC). The preparation of the GSC is time-consuming and costly and the final cor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::594690d2dbdda4d78184ebec8a63c1c1
https://pubmed.ncbi.nlm.nih.gov/22166494
https://pubmed.ncbi.nlm.nih.gov/22166494
Publikováno v:
BMC Bioinformatics
Background Detecting uncertain and negative assertions is essential in most BioMedical Text Mining tasks where, in general, the aim is to derive factual knowledge from textual data. This article reports on a corpus annotation project that has produce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::701969c33e65c0e96353b92aaf6f0d79
http://europepmc.org/articles/PMC2586758
http://europepmc.org/articles/PMC2586758
Publikováno v:
Journal of Biomedical Semantics
Journal of Biomedical Semantics, Vol 2, Iss Suppl 5, p S8 (2011)
Journal of Biomedical Semantics, Vol 2, Iss Suppl 5, p S8 (2011)
Background The treatment of negation and hedging in natural language processing has received much interest recently, especially in the biomedical domain. However, open access corpora annotated for negation and/or speculation are hardly available for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5c69a24e24f3e64e0ffa95e525e25c7