Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ilseyar Alimova"'
Publikováno v:
IEEE Access, Vol 10, Pp 1432-1439 (2022)
Relation extraction (RE) aims to extract relational facts from plain text, which is essential to the biomedical research field with the rapid growth of biomedical literature and generally large volumes of biomedicine-related text coming from various
Externí odkaz:
https://doaj.org/article/a74b31bf59a6441298ca46d713434d87
Autor:
Ilseyar Alimova, Elena Tutubalina
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164996
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0a4c6cef542934b2afcadcc55f9a4d6
https://doi.org/10.1007/978-3-031-16500-9_4
https://doi.org/10.1007/978-3-031-16500-9_4
Autor:
Ilseyar Alimova, Elena Tutubalina
Publikováno v:
Programming and Computer Software. 45:439-447
An experimental work on the analysis of effectiveness of neural network models applied to the classification of adverse drug reactions at the entity level is described. Aspect-level sentiment analysis, which aims to determine the sentimental class of
Autor:
Anne Dirkson, Suzan Verberne, Arjun Magge, Graciela Gonzalez-Hernandez, Elena Tutubalina, Davy Weissenbacher, Ilseyar Alimova, Zulfat Miftahutdinov
Publikováno v:
Journal of the American Medical Informatics Association, 28(10), 2184-2192. Oxford University Press (OUP)
Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association : JAMIA
Objective Research on pharmacovigilance from social media data has focused on mining adverse drug events (ADEs) using annotated datasets, with publications generally focusing on 1 of 3 tasks: ADE classification, named entity recognition for identifyi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa36ea5128dda503ed8e5095c7da46ce
http://hdl.handle.net/1887/3246957
http://hdl.handle.net/1887/3246957
Autor:
Suzan Verberne, Anne Dirkson, Zulfat Miftahutdinov, Graciela Gonzalez-Hernandez, Arjun Magge, Ilseyar Alimova, Elena Tutubalina, Davy Weissenbacher
AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSObjectiveC_ST_ABSResearch on pharmacovigilance from social media data has focused on mining adverse drug effects (ADEs) using annotated datasets, with publications generally focusing on one of three tasks: (i) ADE clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8022d9dba752c831e183ff92f045ce9
https://doi.org/10.1101/2020.12.15.20248229
https://doi.org/10.1101/2020.12.15.20248229
Autor:
Sergey I. Nikolenko, Elena Tutubalina, Andrey Sakhovskiy, Ilseyar Alimova, Valentin Malykh, Zulfat Miftahutdinov
The Russian Drug Reaction Corpus (RuDReC) is a new partially annotated corpus of consumer reviews in Russian about pharmaceutical products for the detection of health-related named entities and the effectiveness of pharmaceutical products. The corpus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e115eab028a7ad909af7bd35060985c3
http://arxiv.org/abs/2004.03659
http://arxiv.org/abs/2004.03659
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030454418
ECIR (2)
ECIR (2)
Although deep neural networks yield state-of-the-art performance in biomedical named entity recognition (bioNER), much research shares one limitation: models are usually trained and evaluated on English texts from a single domain. In this work, we pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c9b530533e73d5135542e6782f90e6e
https://doi.org/10.1007/978-3-030-45442-5_35
https://doi.org/10.1007/978-3-030-45442-5_35
Autor:
Ilseyar Alimova, Elena Tutubalina
Publikováno v:
Proceedings of the Institute for System Programming of the RAS. 30:177-196
This paper presents our experimental work on exploring the potential of neural network models developed for aspect-based sentiment analysis for entity-level adverse drug reaction (ADR) classification. Our goal is to explore how to represent local con
Autor:
A. E. Tropsha, Timur I. Madzhidov, Z. Sh. Miftahutdinov, Sergey I. Nikolenko, Elena Tutubalina, R. I. Nugmanov, Ilseyar Alimova
Publikováno v:
Russian Chemical Bulletin. 66:2180-2189
Semantic analysis of text collections was used to identify drugs with similar therapeutic activity. Natural language processing methods were applied to analyse > 2.5 mln texts from drug reviews (in English) found on patient forums and discussion boar
Autor:
Ilseyar Alimova, Elena Tutubalina
Publikováno v:
Journal of biomedical informatics. 103
Relation extraction aims to discover relational facts about entity mentions from plain texts. In this work, we focus on clinical relation extraction; namely, given a medical record with mentions of drugs and their attributes, we identify relations be