What are the limitations of BERT in natural language processing?
An example of an AI chatbot conversation about the limitations of BERT in NLP tasks.
What are the limitations of BERT in natural language processing?
BERT has several limitations, including its inability to handle long texts effectively and its reliance on large amounts of data.
Can you explain why BERT struggles with long texts?
BERT uses a fixed-length input, which means it can only process a limited number of tokens at a time, leading to truncation of longer texts.
Are there any specific tasks where BERT performs poorly?
Yes, BERT may struggle with tasks requiring deep reasoning or understanding of context over long passages, like summarization.
What alternatives to BERT exist that address these limitations?
Alternatives like Longformer and Reformer are designed to handle longer contexts and improve efficiency in processing.
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