Contents
What is global and local attention?
In the task of neural machine translation, global attention implies we attend to all the input words, and local attention means we attend to only a subset of words.
What is global attention?
Global attention is an extension of the attentional encoder-decoder model for recurrent neural networks. Although developed for machine translation, it is relevant for other language generation tasks, such as caption generation and text summarization, and even sequence prediction tasks in general.
How attention weights are calculated?
The attention weights are calculated by normalizing the output score of a feed-forward neural network described by the function that captures the alignment between input at j and output at i.
What is Attention mechanism?
The attention mechanism emerged as an improvement over the encoder decoder-based neural machine translation system in natural language processing (NLP). The encoder LSTM is used to process the entire input sentence and encode it into a context vector, which is the last hidden state of the LSTM/RNN.
What kind of attention mechanism does Bahdanau use?
Bahdanau Attention is also known as Additive attention as it performs a linear combination of encoder states and the decoder states. Now, let’s understand the mechanism suggested by Bahdanau.
What’s the difference between Luong attention and Bahdanau attention?
It is often referred to as Multiplicative Attention and was built on top of the Attention mechanism proposed by Bahdanau. The two main differences between Luong Attention and Bahdanau Attention are: The position at which the Attention mechanism is being introduced in the decoder
What is the attention mechanism in deep learning?
Attention mechanism is one of the recent advancements in Deep learning especially for Natural language processing tasks like Machine translation, Image Captioning, dialogue generation etc. It is a mechanism that is developed to increase the performance of encoder decoder (seq2seq) RNN model.
How are alignment scores calculated for Bahdanau attention?
The alignment scores for Bahdanau Attention are calculated using the hidden state produced by the decoder in the previous time step and the encoder outputs with the following equation: