In this section, we consider two kinds of relational classification tasks: (1) relation prediction and (2) relation extraction.  We hope to design a simple and clear experiment setup to conduct error analysis for relational prediction. Therefore, we consider a typical method TransE BIBREF3 as the subject as well as FB15K BIBREF3 as the dataset. For relation extraction, we consider the supervised relation extraction setting and TACRED dataset BIBREF10 . As for the subject model, we use the best model on TACRED dataset — position-aware neural sequence model.  
 Question: Which competitive relational classification models do they test?
For relation prediction they test TransE and for relation extraction they test position aware neural sequence model