Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Andreas D. Andriopoulos"'
Publikováno v:
2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
Publikováno v:
Neural Computing & Applications
The special nature, volume and broadness of biomedical literature pose barriers for automated classification methods. On the other hand, manually indexing is time-consuming, costly and error prone. We argue that current word embedding algorithms can
Publikováno v:
Cybernetics and Information Technologies. 20:95-116
The problem of thematic indexing of Open Educational Resources (OERs) is often a time-consuming and costly manual task, relying on expert knowledge. In addition, a lot of online resources may be poorly annotated with arbitrary, ad-hoc keywords instea
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030491604
AIAI (1)
AIAI (1)
Appropriate indexing of resources is necessary for their efficient search, discovery and utilization. Relying solely on manual effort is time-consuming, costly and error prone. On the other hand, the special nature, volume and broadness of biomedical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eca9c2a3c15bbb0bace0eca9d7ddbeb1
https://doi.org/10.1007/978-3-030-49161-1_29
https://doi.org/10.1007/978-3-030-49161-1_29
Publikováno v:
INISTA
Open Educational Resources (OERs) are often scattered among various sources and may follow different metadata schemata. In addition, they may not include exhaustive annotations; even worse, their subject characterization, if any, may be represented b