Inside-Outside and Forward-Backward Algorithms Are Just Backprop (Tutorial Paper). Eisner, J EMNLP 2016, 2016.
abstract   bibtex   
Abstract A probabilistic or weighted grammar implies a posterior probability distribution over possible parses of a given input sentence. One often needs to extract information from this distribution, by computing the expected counts (in the unknown parse) of various grammar.
@Article{Eisner2016,
author = {Eisner, J}, 
title = {Inside-Outside and Forward-Backward Algorithms Are Just Backprop (Tutorial Paper)}, 
journal = {EMNLP 2016}, 
volume = {}, 
number = {}, 
pages = {}, 
year = {2016}, 
abstract = {Abstract A probabilistic or weighted grammar implies a posterior probability distribution over possible parses of a given input sentence. One often needs to extract information from this distribution, by computing the expected counts (in the unknown parse) of various grammar.}, 
location = {}, 
keywords = {}}

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