You are still the number one state of the art at semantic role labeling.
But in the meantime there was a lot of progress in the Nlp world.
ELMO has been succeeded by BERT, bert has been succeeded by spanBert and all of them have been succeeded by XLnet!
You are still the number one state of the art at semantic role labeling. But in the meantime there was a lot of progress in the Nlp world. ELMO has been succeeded by BERT, bert has been succeeded by spanBert and all of them have been succeeded by XLnet!
There is a popular library for easily switching from one transformer to another: https://github.com/huggingface/transformers
If you trained again your model, with XLnet instead of ELMO you would probably significantly increase accuracy at SRL!
Humanity needs more accurate SRL, please :}