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This repository has been archived by the owner on May 28, 2023. It is now read-only.
Usually are summarization models trained by text blocks with limited size, e.g. 800 characters for mt5-small-sum-de-en-v1.
To achieve the best prediction performance, also the input text has to be limited to this length.
As one of solution for summarizing of longer texts, following approach could be tested:
split input text for prediction into blocks on sentences level, where blocks character count is limited
predict a summary for individual block
join results of blocks summary into single text block.
The text was updated successfully, but these errors were encountered:
michalharakal
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Usually are summarization models trained by text blocks with limited size, e.g. 800 characters for mt5-small-sum-de-en-v1.
To achieve the best prediction performance, also the input text has to be limited to this length.
As one of solution for summarizing of longer texts, following approach could be tested:
The text was updated successfully, but these errors were encountered: