dev-python/edu-segmentation
To improve EDU segmentation performance using Segbot. As Segbot has an encoder-decoder model architecture, we can replace bidirectional GRU encoder with generative pretraining models such as BART and T5. Evaluate the new model using the RST dataset by using few-shot based settings (e.g. 100 examples) to train the model, instead of using the full dataset.
Reverse Dependencies
Reverse dependancies are sometimes conditional based on your USE flags, Ebuild version and sometimes other packages. please keep this in mind.


View
Download
Browse