Roles and Utilization of Attention Heads in Transformer-based Neural Language Models

ACL 2020 Jae-young JoSung-Hyon Myaeng

Sentence encoders based on the transformer architecture have shown promising results on various natural language tasks. The main impetus lies in the pre-trained neural language models that capture long-range dependencies among words, owing to multi-head attention that is unique in the architecture... (read more)

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