(2008) use deep learning techniques based on semi-supervised embeddings to improve an SRL system, though their tests are on in-domain data.
the Multi-Span-HMM model performs near the state-of-the-art on the WSJ test set, and its F1 on out-of-domain data drops only about half as much as comparable systems.