Hi,
Thanks for sharing this great implementation.
I know it is possible to get the label probabilities using forward backward algorithm in CRFs. I am finding some difficulties in implementing/modifying the default CRF implementation in tensorflow. For calculation of the partition function, they have only used the forward (message passing) algorithm. Do you have any experience or ideas about how the forward-backward algorithm could be implemented in tf?
Hi, Thanks for sharing this great implementation. I know it is possible to get the label probabilities using forward backward algorithm in CRFs. I am finding some difficulties in implementing/modifying the default CRF implementation in tensorflow. For calculation of the partition function, they have only used the forward (message passing) algorithm. Do you have any experience or ideas about how the forward-backward algorithm could be implemented in tf?