Wals Roberta Info

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: The "Sets 1-36" are often used to fine-tune RoBERTa, helping it become more "robust" across diverse dialects and syntax styles. Technical Context and Common Issues wals roberta

The development of BERT has revolutionized the field of natural language processing (NLP). BERT's ability to capture contextual relationships between words has led to significant improvements in various NLP tasks. However, BERT has several limitations. Firstly, BERT uses a fixed-length context, which can lead to incomplete understanding of long-range dependencies. Secondly, BERT is prone to overfitting, especially when fine-tuned on small datasets. Thanks