To achieve this, we perform a case study on semantic role labeling (SRL), a sentencelevel semantic analysis task that aims to identify predicate-argument structures and assign meaningful labels to them as follows: We use a simple method based on bidirectional LSTMs to train three types of base semantic role labelers that employ (1) words (2) characters and character sequences and (3) gold morphological analysis.
the ability to handle it is a strong performance indicator.