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The shallow linguistic kernel recalled 70.1% of the sentence-level connectivity statements at 50.3% precision.
Owing to its speed and simplicity, we applied the shallow linguistic kernel to a large set of new abstracts.
Finally, the shallow linguistic kernel (SLK) uses only shallow parsing information such as word occurrences and part-of-speech tags (Giuliano et al., 2006).
(ii) KERNEL relies on a supervised classifier [shallow linguistic kernel (Giuliano et al., 2006), identical to French et al. (2012)] that requires only shallow parsing information such as word occurrences and part-of-speech tags.
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We decided to use the Shallow Linguistic (SL) kernel proposed by Giuliano et al. [ 35] because it has been shown to perform well using only shallow linguistic features.
To classify the relation instances, we used a kernel method based only on shallow linguistic information of the sentences.
The kernel matrix may be interpreted in terms of linguistic values based on the premises of if then rules.
Unlike the other kernel methods, the SLK method uses only shallow linguistic information at the local (neighbouring words) and global sentence levels to predict relationships (Giuliano et al., 2006).
Linguistic ties matter too.
Parameters that are quintessentially linguistic?
The linguistic subtext seemed clear.
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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