Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Mehmet Fatih Amasyali"'
Autor:
Kadir Gunel, Mehmet Fatih Amasyali
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12586 (2023)
In this study, we investigate knowledge transfer between two distinct sentence embedding models: a computationally demanding, highly performant model and a lightweight model derived from word vector averaging. Our objective is to augment the represen
Externí odkaz:
https://doaj.org/article/7556bf797951457e84bf8f715b87453a
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1913 (2023)
BERT, the most popular deep learning language model, has yielded breakthrough results in various NLP tasks. However, the semantic representation space learned by BERT has the property of anisotropy. Therefore, BERT needs to be fine-tuned for certain
Externí odkaz:
https://doaj.org/article/5ae8691454934ff289e88bcea36326ea
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9659 (2022)
Semantic Textual Similarity (STS) is an important task in the area of Natural Language Processing (NLP) that measures the similarity of the underlying semantics of two texts. Although pre-trained contextual embedding models such as Bidirectional Enco
Externí odkaz:
https://doaj.org/article/bcbc5f1a491e4c96833d615e5b2f22e4
Publikováno v:
Computers, Materials & Continua. 70:2401-2414
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91687b2bdde7768bfc2c6c01333aae58
https://doi.org/10.32604/cmc.2022.020036
https://doi.org/10.32604/cmc.2022.020036
Publikováno v:
International Journal of Intelligent Computing and Cybernetics.
PurposeWhen a large number of project proposals are evaluated to allocate available funds, grouping them based on their similarities is beneficial. Current approaches to group proposals are primarily based on manual matching of similar topics, discip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a01312187ccbc972e0c0f67c7fb85583
https://doi.org/10.1108/ijicc-11-2022-0289
https://doi.org/10.1108/ijicc-11-2022-0289
Publikováno v:
2022 Innovations in Intelligent Systems and Applications Conference (ASYU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c5f999b9e16287ea730f9018ad33fff
https://doi.org/10.1109/asyu56188.2022.9925305
https://doi.org/10.1109/asyu56188.2022.9925305
Publikováno v:
2022 Innovations in Intelligent Systems and Applications Conference (ASYU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::367cc10b80a38218e36c043ba902992b
https://doi.org/10.1109/asyu56188.2022.9925328
https://doi.org/10.1109/asyu56188.2022.9925328
Autor:
Yusuf Ani, Mehmet Fatih Amasyali
Publikováno v:
2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::421870fa11644bfa3f3fed86366898f7
https://doi.org/10.1109/inista55318.2022.9894123
https://doi.org/10.1109/inista55318.2022.9894123
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7158ae60b76cc3a6c0338f058e092abe
https://doi.org/10.1109/siu55565.2022.9864961
https://doi.org/10.1109/siu55565.2022.9864961
Publikováno v:
2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f65ad3e419e86983325215be4924ca5
https://doi.org/10.1109/icaiic54071.2022.9722629
https://doi.org/10.1109/icaiic54071.2022.9722629