Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Quang-Thuy Ha"'
Autor:
Ngoc-Vu Nguyen, Thi-Lan Nguyen, Cam-Van Nguyen Thi, Mai-Vu Tran, Tri-Thanh Nguyen, Quang-Thuy Ha
Publikováno v:
Vietnam Journal of Computer Science, Vol 6, Iss 4, Pp 471-487 (2019)
Named entity recognition (NER) is a fundamental task which affects the performance of its dependent task, e.g. machine translation. Lifelong machine learning (LML) is a continuous learning process, in which the knowledge base accumulated from previou
Externí odkaz:
https://doaj.org/article/3fc661666b394bd19b22343573d904b9
Autor:
Nigel Collier, Mai-vu Tran, Hoang-quynh Le, Quang-Thuy Ha, Anika Oellrich, Dietrich Rebholz-Schuhmann
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e72965 (2013)
The identification of phenotype descriptions in the scientific literature, case reports and patient records is a rewarding task for bio-medical text mining. Any progress will support knowledge discovery and linkage to other resources. However because
Externí odkaz:
https://doaj.org/article/e2f76355001a45e794b7c989a9e7d346
Publikováno v:
2022 RIVF International Conference on Computing and Communication Technologies (RIVF).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec3484f46b35aef920f1e577ffe2c2b4
https://doi.org/10.1109/rivf55975.2022.10013828
https://doi.org/10.1109/rivf55975.2022.10013828
Publikováno v:
2022 14th International Conference on Knowledge and Systems Engineering (KSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d959b9c0a39de2efa3d8a0d29b470fbf
https://doi.org/10.1109/kse56063.2022.9953802
https://doi.org/10.1109/kse56063.2022.9953802
Publikováno v:
Fuzzy Sets and Systems. 388:146-178
Description logics (DLs) are a suitable formalism for representing knowledge about domains in which objects are described not only by attributes but also by binary relations between objects. Fuzzy extensions of DLs can be used for such domains when d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7590db1f2aac8d08ede53cb849ea587
https://doi.org/10.1016/j.fss.2019.08.004
https://doi.org/10.1016/j.fss.2019.08.004
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783031217425
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85f0b263e4978167ffc6506ff17a69c7
https://doi.org/10.1007/978-3-031-21743-2_49
https://doi.org/10.1007/978-3-031-21743-2_49
Autor:
Thanh-Huyen Pham, Van-Tuan Phan, Thi-Ngan Pham, Thi-Hong Vuong, Tri-Thanh Nguyen, Quang-Thuy Ha
Publikováno v:
Recent Challenges in Intelligent Information and Database Systems ISBN: 9789811982330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8860a6ce62ec91ca393cf5b43ceb6615
https://doi.org/10.1007/978-981-19-8234-7_36
https://doi.org/10.1007/978-981-19-8234-7_36
Publikováno v:
2021 13th International Conference on Knowledge and Systems Engineering (KSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37d0b95e7a6f4da61c7ad8225e5f1ebe
https://doi.org/10.1109/kse53942.2021.9648790
https://doi.org/10.1109/kse53942.2021.9648790
Publikováno v:
2021 13th International Conference on Knowledge and Systems Engineering (KSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f2443162ce039002775b28bdccb4093
https://doi.org/10.1109/kse53942.2021.9648676
https://doi.org/10.1109/kse53942.2021.9648676
Autor:
Cam-Van Nguyen Thi, Mai-Vu Tran, Tri-Thanh Nguyen, Ngoc-Vu Nguyen, Quang-Thuy Ha, Thi-Lan Nguyen
Publikováno v:
Vietnam Journal of Computer Science, Vol 6, Iss 4, Pp 471-487 (2019)
Named entity recognition (NER) is a fundamental task which affects the performance of its dependent task, e.g. machine translation. Lifelong machine learning (LML) is a continuous learning process, in which the knowledge base accumulated from previou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c0f7d135ca5cfd2e2294cdc526ad182
https://doi.org/10.1142/s219688881950026x
https://doi.org/10.1142/s219688881950026x