Seq2Biseq - Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling
Seq2Biseq is coded in pytorch and it follows the same research trend as our previous papers, where a bidirectional output-side context is used for current decision. A schema of the high-level architecture is shown in the following image.
The idea is similar to those used in Deliberation Networks, and Asynchronous bidirectional networks for Machine Translation.
- Bidirectional backward-forward decoding
I'm going to git the tool.