Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Eniafe Festus Ayetiran"'
Autor:
Eniafe Festus Ayetiran, Ozlem Ozgobek
Publikováno v:
IEEE Access, Vol 12, Pp 76133-76153 (2024)
The detection of fake news and harmful languages has become increasingly important in today’s digital age. As the prevalence of fake news and harmful languages continue to increase, so also is the correspondent negative impact on individuals and th
Externí odkaz:
https://doaj.org/article/3ab569abff7f4fbfb5ad774a26ab1a08
Publikováno v:
Journal of Universal Computer Science, Vol 28, Iss 2, Pp 181-201 (2022)
In 2018, Mikolov et al. introduced the positional language model, which has characteristics of attention-based neural machine translation models and which achieved state-of-the-art performance on the intrinsic word analogy task. However, the position
Externí odkaz:
https://doaj.org/article/5782377e93664bdd88951951c951ebc3
Publikováno v:
Open Information Science. 7
Social unrest is a powerful mode of expression and organized form of behavior involving civil disorders and acts of mass civil disobedience, among other behaviors. Nowadays, signs of most social unrest start from the social media websites, such as Tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd9a5b9e7d72b41960520f75833fa65b
https://doi.org/10.1515/opis-2022-0141
https://doi.org/10.1515/opis-2022-0141
Autor:
Eniafe Festus Ayetiran
Publikováno v:
Knowledge-Based Systems. 252:109409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1df8fd0137e6ff3da37532e511d84680
https://doi.org/10.1016/j.knosys.2022.109409
https://doi.org/10.1016/j.knosys.2022.109409
Autor:
Vít Novotný, Michal Štefánik, Petr Sojka, Dávid Lupták, Eniafe Festus Ayetiran, Dalibor Bačovský
Publikováno v:
RANLP
Unsupervised representation learning of words from large multilingual corpora is useful for downstream tasks such as word sense disambiguation, semantic text similarity, and information retrieval. The representation precision of log-bilinear fastText
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82039c8f85045041af3a5ff7a1e08dcb
http://arxiv.org/abs/2102.02585
http://arxiv.org/abs/2102.02585
Several language applications often require word semantics as a core part of their processing pipeline either as precise meaning inference or semantic similarity. Multi-sense embeddings (m-se) can be exploited for this important requirement. m-se see
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f53ca2fb886644de74965db610555721
Publikováno v:
Open Computer Science, Vol 8, Iss 1, Pp 165-172 (2016)
Computational complexity is a characteristic of almost all Lesk-based algorithms for word sense disambiguation (WSD). In this paper, we address this issue by developing a simple and optimized variant of the algorithm using topic composition in docume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3a84096fddf3e2c73ea0bbe1d5c4629
https://doi.org/10.1515/comp-2018-0015
https://doi.org/10.1515/comp-2018-0015
Publikováno v:
2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).
When using Information Retrieval (IR) systems, users often present search queries made of ad-hoc keywords. It is then up to the information retrieval systems (IRS) to obtain a precise representation of the user's information need and the context (pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57b15dae5150c5973dfdac0ce1aea639
https://doi.org/10.1109/iemcon.2016.7746242
https://doi.org/10.1109/iemcon.2016.7746242
Autor:
A. B. Adeyemo, Eniafe Festus Ayetiran
Publikováno v:
International Journal of Information Technology and Computer Science. 4:9-18
Identifying customers who are more likely to respond to new product offers is an important issue in direct marketing. In direct marketing, data mining has been used extensively to identify potential customers for a new product (target selection). Usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39bd0313886517ef17d9a526d8715054
https://doi.org/10.5815/ijitcs.2012.01.02
https://doi.org/10.5815/ijitcs.2012.01.02
Publikováno v:
Natural Language Processing and Cognitive Science: Proceedings 2014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2627f27036dec06a3b6f0b22e5353a8
https://doi.org/10.1515/9781501501289.15
https://doi.org/10.1515/9781501501289.15