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Encoder-Decoder with Attention in NLP by aya770315 is a document available to read on EtoBox.

What is Encoder-Decoder with Attention in NLP about?

The document discusses the encoder-decoder architecture in neural machine translation and its limitations in capturing contextual relations in long sequences. It introduces the attention mechanism as an enhancement that allows the model to focus on relevant parts of the input sequence, improving performance in tasks like translation and summarization. The document also highlights the BLEU score as a metric for evaluating model performance, concluding that attention-based models significantly outperform trad

Author

aya770315

Language

EN