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The reports' data comes from Streamlabs' platform, which offers a suite of tools that help streamers grow their channels.
Regarding the reports data, adding semantic relations does not improve topic segmentation, whatever the type of semantic relations is considered.
As the proportion of words with a confidence measure less than 0.9 is more important in the reports data, the impact of the confidence measures and of is more perceptible on this data set.
In particular, we have experimentally verified that exploiting semantic knowledge from the journalistic domain does not harm (nor help) in case of out-of-domain data such as the ones in the reports data set.
The first factor is that for the reports data: segments are longer and exhibit a larger number of repetitions per segment than for the news data, thus limiting the interest of semantic relations.
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The wasted potential of our black youth represented by the reported data is breathtaking.
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The results showed good agreement with the reported data.
The obtained results are in accordance with the reported data.
Therefore, our values are much lower than the reported data.
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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