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The paper proposes that we use N-gram overlap to select rows relevant to the statement/context to make a content snapshot. Is this done during prprocessing the dataset? Doesn't that mean this operation cannont be optimized?
I am a bit confused. Because feeding all rows of a chart into the model requests too much memory, I guess the rows are already selected before this.
It will be much appreciated if you can make this clearer.
Thanks!
The text was updated successfully, but these errors were encountered:
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The paper proposes that we use N-gram overlap to select rows relevant to the statement/context to make a content snapshot. Is this done during prprocessing the dataset? Doesn't that mean this operation cannont be optimized?
I am a bit confused. Because feeding all rows of a chart into the model requests too much memory, I guess the rows are already selected before this.
It will be much appreciated if you can make this clearer.
Thanks!
The text was updated successfully, but these errors were encountered: