Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Ayetiran, Eniafe Festus"'
Publikováno v:
In Information Systems July 2024 123
Publikováno v:
J. Univers. Comput. Sci. 28:2 (2022) 181-201
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:
http://arxiv.org/abs/2104.09691
Publikováno v:
Knowledge-Based Systems. 219 (2021) 106902
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 se
Externí odkaz:
http://arxiv.org/abs/2103.00232
Autor:
Novotný, Vít, Ayetiran, Eniafe Festus, Bačovský, Dalibor, Lupták, Dávid, Štefánik, Michal, Sojka, Petr
Publikováno v:
RANLP (2021) 1072-1078
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:
http://arxiv.org/abs/2102.02585
Since the seminal work of Mikolov et al., word embeddings have become the preferred word representations for many natural language processing tasks. Document similarity measures extracted from word embeddings, such as the soft cosine measure (SCM) an
Externí odkaz:
http://arxiv.org/abs/2003.05019
Publikováno v:
Open Information Science, Vol 7, Iss 1, Pp 224-237 (2023)
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://doaj.org/article/6606678dc97042fbac7507bedef0a4ba
Autor:
Ayetiran Eniafe Festus, Agbele Kehinde
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://doaj.org/article/403f34611d5a436887fd38b9f522e270