Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Suzan Uskudarli"'
Publikováno v:
PLoS ONE, Vol 11, Iss 3, p e0151885 (2016)
Twitter is an extremely high volume platform for user generated contributions regarding any topic. The wealth of content created at real-time in massive quantities calls for automated approaches to identify the topics of the contributions. Such topic
Externí odkaz:
https://doaj.org/article/ccad23f3bb184146bddcfde255f9e115
Autor:
Ahmet Yıldırım, Suzan Uskudarli
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0236863 (2020)
Much valuable information is embedded in social media posts (microposts) which are contributed by a great variety of persons about subjects that of interest to others. The automated utilization of this information is challenging due to the overwhelmi
Externí odkaz:
https://doaj.org/article/b2570e2e35104b02b0643108002ec6d8
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0244179 (2020)
The state-of-the-art systems for most natural language engineering tasks employ machine learning methods. Despite the improved performances of these systems, there is a lack of established methods for assessing the quality of their predictions. This
Externí odkaz:
https://doaj.org/article/87e7983ec5794d7a8627aa54526b6bea
Publikováno v:
Government and Opposition. :1-22
How do right-wing populist leaders address a public health crisis? This article addresses the evolution of right-wing populist leaders' communication tone and style during the COVID-19 pandemic. By analysing the Twitter accounts of Boris Johnson, Don
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55d1f9eeae62404515008e6f7ec89f0f
https://doi.org/10.1017/gov.2022.34
https://doi.org/10.1017/gov.2022.34
Overcoming the challenges in morphological annotation of Turkish in universal dependencies framework
Autor:
Talha Bedir, Karahan Şahin, Onur Gungor, Suzan Uskudarli, Arzucan Özgür, Tunga Güngör, Balkiz Ozturk Basaran
Publikováno v:
Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::512edcf5b6b29843735f2c3eb13579a4
https://doi.org/10.18653/v1/2021.law-1.12
https://doi.org/10.18653/v1/2021.law-1.12
Publikováno v:
Natural Language Engineering. 25:147-169
This work proposes a sequential tagger for named entity recognition in morphologically rich languages. Several schemes for representing the morphological analysis of a word in the context of named entity recognition are examined. Word representations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46809fe18748fa09859696954b4452bd
https://doi.org/10.1017/s1351324918000281
https://doi.org/10.1017/s1351324918000281
Publikováno v:
RANLP
For the spell correction task, vocabulary based methods have been replaced with methods that take morphological and grammar rules into account. However, such tools are fairly immature, and, worse, non-existent for many low resource languages. Checkin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::756963f01f0c2ad5ea951aa91e95cce4
https://doi.org/10.26615/978-954-452-056-4_009
https://doi.org/10.26615/978-954-452-056-4_009
Publikováno v:
SIU
In this work, we propose a neural network model for Turkish named entity recognition. Model creates a context vector for every position in the sentence by processing the words in forward and backward directions. This context vector is used to obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4e86eb96ec6ba4486d935729b6a9d5a
https://doi.org/10.1109/siu.2018.8404788
https://doi.org/10.1109/siu.2018.8404788
Autor:
José F. Aldana-Montes, Neda Barzegar Marvasti, Burak Acar, María del Mar Roldán-García, Suzan Uskudarli
Past medical cases, hence clinical experience, are invaluable resources in supporting clinical practice, research, and education. Medical professionals need to be able to exchange information about patient cases and explore them from subjective persp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9784cf16c488ca8ab51c3a249ed0c50b
https://aperta.ulakbim.gov.tr/record/110710
https://aperta.ulakbim.gov.tr/record/110710
Autor:
Andrew Gilbert, Krystian Mikolajczyk, Alba García Seco de Herrera, Mauricio Villegas, Neda Barzegar Marvasti, Stefano Bromuri, M. Ashraful Amin, Suzan Uskudarli, María del Mar Roldán García, Mahmood Kazi Mohammed, Josiah Wang, Burak Acar, José F. Aldana, Henning Müller, Luca Piras
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319240268
CLEF
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
CLEF
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
This paper presents an overview of the ImageCLEF 2015 evaluation campaign, an event that was organized as part of the CLEF labs 2015. ImageCLEF is an ongoing initiative that promotes the evaluation of technologies for annotation, indexing and retriev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e961f331ebf091ff5e29b75d6980ae7d
https://surrey.eprints-hosting.org/845055/
https://surrey.eprints-hosting.org/845055/