The importance of this intermediate representation led to the creation of the interpretable semantic textual similarity task (Agirre et al., 2015a) that focuses on predicting chunk-level alignments and similarities.
while extensive resources exist for sentence-level relationships, human annotated chunk-aligned data is comparatively smaller.