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The recommendation mechanism is based on semantic matching on context information from both users' side and knowledge's side.
We investigate a thoroughly different and highly extensible solution based on semantic matching where labels are parsed by multilingual natural language processing and then matched using language-independent and domain aware background knowledge acting as an interlingua.
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The results are all based on semantic matches within each domain.
Semantic algorithms allow the formation of model integration through input/output matching based on semantic relevance between the models and datasets.
Thus, a researcher is represented as a set of words, which allow us to compute two features based on semantic similarity: (i) The keyword match count between two researchers [10].
Summary: Accurate semantic classification is valuable for text mining and knowledge-based tasks that perform inference based on semantic classes.
Retrieval models based on simple string matching performed better than models based on semantic tags alone with respect to best mean recall and mean precision at high recall-levels.
The methodology is based on semantic e-learning.
In this paper, we present a financial news semantic search engine based on Semantic Web technologies.
The former [23] do exact keyword matching by registration information including the name and valid property values of the service in the service library, while the latter is based on semantic web technology.
This response would thereby do away with any exceptions to the laws based on semantic externalism.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com