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Found 2 papers, 1 papers with code
Investigating Text Shortening Strategy in BERT: Truncation vs Summarization
In this study, we investigate the performance of document truncation and summarization in text classification tasks.
Simple Hack for Transformers against Heavy Long-Text Classification on a Time- and Memory-Limited GPU Service
Using the best hack found, we then compare 512, 256, and 128 tokens length.
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