Mar 28, 2016 · We propose a method for the automated acquisition of hierarchical relationships between relevant domain terms from educational content, which ...
In this paper, we predominantly focus on the step of term hierarchy extraction, which, together with the step of term identification, leads to the construction ...
Supporting semantic annotation of educational content by automatic extraction of hierarchical domain relationships. P Vrablecová, M Šimko. IEEE transactions ...
Supporting Semantic Annotation of Educational Content by Automatic Extraction of Hierarchical Domain Relationships / aut. Petra Vrablecová, Marián Šimko.
We propose a method for relevant domain terms extraction based on user-created annotations processing. We consider three basic annotation types: tags, comments ...
Extracting high-level semantic concepts from low-level visual features of images is a very challenging research. Although traditional machine learning ...
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It is based on a set of heuristics for extracting semantic information from HTML documents and transforming it into a topic map format. The second one is aimed ...
Supporting semantic annotation of educational content by automatic extraction of hierarchical domain relationship. IEEE Transaction on Learning Technologies ...
The experimental results show that the LDA model can catalogues teaching resources from a macro perspective, and model LDA on teaching subject resources of ...
Jul 9, 2021 · Vrablecová P, Šimko M. Supporting semantic annotation of educational content by automatic extraction of hierarchical domain relationships[J].