Zobrazeno 1 - 10
of 182
pro vyhledávání: '"McNaught John"'
Publikováno v:
BMC Bioinformatics, Vol 9, Iss Suppl 3, p S2 (2008)
Abstract Background One of the difficulties in mapping biomedical named entities, e.g. genes, proteins, chemicals and diseases, to their concept identifiers stems from the potential variability of the terms. Soft string matching is a possible solutio
Externí odkaz:
https://doaj.org/article/9c143ab5dbb44ddf92d80989d1895a75
Publikováno v:
BMC Bioinformatics, Vol 13, Iss 1, p 108 (2012)
Abstract Background Research into event-based text mining from the biomedical literature has been growing in popularity to facilitate the development of advanced biomedical text mining systems. Such technology permits advanced search, which goes beyo
Externí odkaz:
https://doaj.org/article/5e143642757e4f8cb859641fe5b8c0b1
Autor:
Thompson Paul, McNaught John, Montemagni Simonetta, Calzolari Nicoletta, del Gratta Riccardo, Lee Vivian, Marchi Simone, Monachini Monica, Pezik Piotr, Quochi Valeria, Rupp CJ, Sasaki Yutaka, Venturi Giulia, Rebholz-Schuhmann Dietrich, Ananiadou Sophia
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 397 (2011)
Abstract Background Due to the rapidly expanding body of biomedical literature, biologists require increasingly sophisticated and efficient systems to help them to search for relevant information. Such systems should account for the multiple written
Externí odkaz:
https://doaj.org/article/3e9d9e6e944044fd87169b5c6efd04a7
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 393 (2011)
Abstract Background Biomedical papers contain rich information about entities, facts and events of biological relevance. To discover these automatically, we use text mining techniques, which rely on annotated corpora for training. In order to extract
Externí odkaz:
https://doaj.org/article/47efdb6ee4bf4e21b19b21d0f772a061
Publikováno v:
BMC Bioinformatics, Vol 10, Iss 1, p 349 (2009)
Abstract Background Information Extraction (IE) is a component of text mining that facilitates knowledge discovery by automatically locating instances of interesting biomedical events from huge document collections. As events are usually centred on v
Externí odkaz:
https://doaj.org/article/9c06ca17b9444bac926f8ee9ead508b2
Publikováno v:
Language, Speech & Hearing Services in Schools. Apr2024, Vol. 55 Issue 2, p276-302. 27p.
Publikováno v:
Language Resources and Evaluation, 2017 Apr 01. 51(2), 409-438.
Externí odkaz:
https://www.jstor.org/stable/26649520
Autor:
Kontonatsios, Georgios, Brockmeier, Austin J., Przybyła, Piotr, McNaught, John, Mu, Tingting, Goulermas, John Y., Ananiadou, Sophia
Publikováno v:
In Journal of Biomedical Informatics August 2017 72:67-76
Autor:
Alghamdi, Ibrahim a, ∗, Xu, Samuel S. b, McNaught, John c, Cardarelli Leite, Leandro a, Cool, Derek W. a, Mujoomdar, Amol a
Publikováno v:
In Journal of Vascular and Interventional Radiology December 2024
Autor:
Rehm, Georg, Uszkoreit, Hans, Ananiadou, Sophia, Bel, Núria, Bielevičienè, Audroné, Borin, Lars, Branco, António, Budin, Gerhard, Calzolari, Nicoletta, Daelemans, Walter, Garabík, Radovan, Grobelnik, Marko, García-Mateo, Carmen, van Genabith, Josef, Hajič, Jan, Hernáez, Inma, Judge, John, Koeva, Svetla, Krek, Simon, Krstev, Cvetana, Lindén, Krister, Magnini, Bernardo, Mariani, Joseph, McNaught, John, Melero, Maite, Monachini, Monica, Moreno, Asunción, Odijk, Jan, Ogrodniczuk, Maciej, Pęzik, Piotr, Piperidis, Stelios, Przepiórkowski, Adam, Rögnvaldsson, Eiríkur, Rosner, Mike, Pedersen, Bolette Sandford, Skadiņa, Inguna, De Smedt, Koenraad, Tadić, Marko, Thompson, Paul, Tufiş, Dan, Váradi, Tamás, Vasiļjevs, Andrejs, Vider, Kadri, Zabarskaitè, Jolanta
Publikováno v:
Language Resources and Evaluation, 2016 Apr 01. 50(2), 351-374.
Externí odkaz:
http://www.jstor.org/stable/44131469