The summarization method based on BSUs proposed by Li (2015) overcomes the limitation of text generation faced by AMR graphs, and produces informative, coherent and compact summaries.
as the authors state, the BSU network cannot yet handle data that express opinions rather than facts and actions, since these cases involve verbs that lack meaningful actions, such as 'be', and the underlying representation of actoraction-receiver cannot be appropriately computed.