An iterative algorithm to calculate the score distribution of beam search paths and the resulting sentence error rate is presented.
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Mar 14, 2019 · The algorithm creates a theoretical connection between sampling and (deterministic) beam search and can be used as a principled intermediate ...
This is an implementation of Stochastic Beam Search, a stochastic variant of beam search that draws samples without replacement from a sequence model.
Oct 2, 2015 · The only difference is that in the Stochastic beam search, the successors of K are chosen at random versus calling K's successor with K in the local beam ...
“Stochastic Beam Search is the method you've been looking for if you want unique samples from a sequence model!” - “You will neverhave duplicate samples ...
In this paper a statistical model taking these factors in account is developed. An iterative algorithm to calculate the score distribution of beam search paths ...
Jun 13, 2019 · TL;DR. Stochastic Beam. Search finds a set of unique samples. (without replacement) from a sequence model.
We introduced Stochastic Beam Search: an algorithm that is easy to implement on top of a beam search as a way to sample sequences without replacement. This ...
In this work, we propose a new method for turning beam search into a stochastic process: Conditional Poisson stochastic beam search.