I'm trying to implement a beam search decoding strategy in a text generation model. This is the function that I am using to decode the output probabilities. def beam_search_decoder(data, k): seque...

According to my understanding (please correct me if I'm wrong), Beam Search is BFS where it only explores the "graph" of possibilities down b the most likely options, where b is the beam size. To...

I have a question about the beam search algorithm. Let's say that n = 2 (the number of nodes we are going to expand from every node). So, at the beginning, we only have the root, with 2 nodes tha...

CRF++ allows us to get marginal probabilities for each tag (a kind of confidece measure for each output tag) and a conditional probably for the output (confidence measure for the entire output). ...

I am using Tensorflow's tf.nn.ctc_beam_search_decoder() to decode the output of a RNN doing some many-to-many mapping (i.e., multiple softmax outputs for each network cell). A simplified version o...

I know that both of them select K randomly, and then choose the best K, as I understand the best K call the others to find the goal, so what is the exact difference between Local beam search and St...